Browsing by Author "Kasibhatla, Prasad S"
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Item Open Access A Bottom-up Approach to Setting a Greenhouse Gas Reduction Target for Charlotte, North Carolina(2011-04-28) Brewer, Shannon; Martin, Emily; Thompson, LisaIn 2007, Charlotte’s City Council passed a resolution directing City staff to: (1) Inventory City Operations Greenhouse Gas (GHG) emissions; (2) Establish aggressive and realistic GHG emission reduction targets; (3) Create an action plan; (4) Prepare a cost-benefit analysis; and (5) Adopt a budget to meet the emission reduction targets. The objective of this project is to update the inventory of GHG emissions from City operations and recommend a GHG emissions target, based on research into best practices as well as economic and technical feasibility. Several considerations are important to the City in the selection of a GHG emission reduction target. First, many other cities have set ambitious emission reduction targets that appear unlikely to be met by their respective target dates. Charlotte does not want to set an unattainable target that fails to consider technical and economic feasibility. In addition, the City hopes to set an example for the community by setting an aggressive target and by making consistent and visible progress towards reducing emissions. First, we interviewed a number of peer organizations, including other municipalities, universities and corporations. The purpose of this stage of our project was to investigate how comparable organizations set GHG emissions reduction targets and to document best practices for climate action planning. Our findings suggest that there is no accepted process for choosing a GHG emissions reduction target and many organizations set targets with little or no analysis into the economic or technical feasibility of achieving that target. The remainder of our work focused on identifying potential GHG reduction projects for the City and determining alternate emissions reduction scenarios. We decided on a bottom-up approach (starting with individual business units before creating an organization-wide strategy) to fit with Charlotte’s unique decentralized structure. Potential greenhouse gas reduction projects were identified through collaboration with five of the City’s key business units. These projects were incorporated into different scenarios based on several key factors. Using these scenarios as a basis, we believe that the most likely GHG emissions reduction that the City can achieve under current financial, technical, and political constraints is approximately 1% per year.Item Open Access Driving Energy Efficiency at Self-Help Credit Union's Retail Banks(2012-04-26) Du, Chongyang; Fletcher, Derek; Breisblatt, DebbieSelf Help Credit Union, a leading provider of loans to small businesses and disadvantaged persons across the country, is seeking to improve the energy efficiency of its North Carolina retail bank buildings in accordance with its company-wide sustainability objectives. Improving energy efficiency may be achieved through a balance of investing in energy efficient technologies and reducing energy consumption through behavioral change. This masters project’s objectives included conducting an energy audit of a retail bank branch to identify energy-related savings opportunities and creating a retail bank branch competition framework to heighten employee awareness of energy efficiency and instigate behavioral change. Our recommendations include implementing this competition and investing in a variety of energy efficient devices and technologies.Item Open Access Driving Energy Efficiency at Self-Help Credit Union's Retail Banks(2012-04-26) Fletcher, Derek; Breisblatt, Debbie; Du, ChongyangSelf Help Credit Union, a leading provider of loans to small businesses and disadvantaged persons across the country, is seeking to improve the energy efficiency of its North Carolina retail bank buildings in accordance with its company-wide sustainability objectives. Improving energy efficiency may be achieved through a balance of investing in energy efficient technologies and reducing energy consumption through behavioral change. This masters project’s objectives included conducting an energy audit of a retail bank branch to identify energy-related savings opportunities and creating a retail bank branch competition framework to heighten employee awareness of energy efficiency and instigate behavioral change. Our recommendations include implementing this competition and investing in a variety of energy efficient devices and technologies.Item Open Access Driving Energy Efficiency at Self-Help Credit Union's Retail Banks(2012-04-26) Breisblatt, Debbie; Du, Chongyang; Fletcher, DerekSelf Help Credit Union, a leading provider of loans to small businesses and disadvantaged persons across the country, is seeking to improve the energy efficiency of its North Carolina retail bank buildings in accordance with its company-wide sustainability objectives. Improving energy efficiency may be achieved through a balance of investing in energy efficient technologies and reducing energy consumption through behavioral change. This masters project’s objectives included conducting an energy audit of a retail bank branch to identify energy-related savings opportunities and creating a retail bank branch competition framework to heighten employee awareness of energy efficiency and instigate behavioral change. Our recommendations include implementing this competition and investing in a variety of energy efficient devices and technologies.Item Open Access Duke Carbon Offsets Initiative: Energy Efficiency Carbon Offsets(2013-04-26) Chen, Yunzhong; Chauhan, Sugandha; Lu, AaronDuke University aims to achieve carbon neutrality by 2024 by a combination of efforts to reduce on campus energy consumption and off campus carbon offset generation. One of the offset options that DCOI is evaluating is energy efficiency retrofits in residential buildings leading to indirect emission reductions. The problem we have attempted to address in our project is how Duke University can identify potential carbon offset opportunities in terms of improving energy efficiency in homes and businesses and how these offsets can be verified and quantified. In order to determine the feasibility of energy efficiency carbon offsets the team started with evaluating data from a similar residential retrofitting project implemented by the City of Durham’s Sustainability Office. The pre and post retrofit energy consumption data from these houses was analyzed to determine the energy savings and resultant carbon emissions reduction. The average emission reduction obtained from this project was then used to determine the carbon price. This carbon price was used to conduct a comparative analysis with carbon prices found in the market, literature and regulations. The second step of the project involved studying energy efficiency retrofit projects that have been undertaken in other regions at various levels and sizes. The last question that this project aimed to answer was regarding the suitability of various financing mechanisms for the retrofitting project. In order to address this question a demand assessment survey was designed to determine the willingness of Duke employees to participate in such a program and pay for the retrofits. DCOI plans to conduct the survey in the foreseeable future. The results of our analysis showed that average electricity savings of 113.13 KWh per month can be generated through retrofits including air and duct sealing and insulation enhancement. The average cost of retrofit was determined to be $1/sq feet of heated area. Using this investment cost and annual savings, the carbon price was determined to be 133.37 $/metric ton of CO2 equivalent reduction. Sensitivity analysis conducted for this carbon price showed that the factors that had the largest impact on carbon price are the initial investment and annual energy savings. To further evaluate the results, we compared the City of Durham’s returns on investment in terms of energy reduction, 0.97 kWh/$, and in terms of greenhouse gas reduction, 0.00046 metric ton of CO2 equivalent/$, to returns on investment of 22 other residential energy efficiency programs around the U.S. The City of Durham program lies in the middle of the range of return on investment indicators. The calculated carbon price of 133.37 $/metric ton of CO2 equivalent reduction, compared to 13.00 $/metric ton of CO2 equivalent reduction median of 44 other carbon prices found in regulation, literature, and market is extremely high. The final set of recommendations provided to DCOI are based upon the results obtained from the City of Durham data analysis and the comparative programs and carbon price study along with the essential project requirements for meeting the Verified Carbon Standard carbon offset program criteria.Item Open Access Duke Carbon Offsets Initiative: Energy Efficiency Carbon Offsets(2013-04-26) Chauhan, Sugandha; Lu, Aaron; Chen, YunzhongDuke University aims to achieve carbon neutrality by 2024 by a combination of efforts to reduce on campus energy consumption and off campus carbon offset generation. One of the offset options that DCOI is evaluating is energy efficiency retrofits in residential buildings leading to indirect emission reductions. The problem we have attempted to address in our project is how Duke University can identify potential carbon offset opportunities in terms of improving energy efficiency in homes and businesses and how these offsets can be verified and quantified. In order to determine the potential savings in energy consumption, we evaluated energy data from a similar energy retrofit project conducted by the City of Durham. The pre and post retrofit energy consumption data from these houses was analyzed to determine the energy savings, the resultant carbon emissions reduction and the carbon price. The second step of the project involved studying energy efficiency retrofit projects that have been undertaken in other regions at various levels and sizes. The last question that this project aimed to answer was regarding the suitability of various financing mechanisms for the retrofitting project. In order to address this question a demand assessment survey was designed to determine the willingness of Duke employees to participate in such a program and pay for the retrofits. The results of our analysis showed that average electricity savings of 113.13 KWh per month can be generated through retrofits including air and duct sealing and insulation enhancement. The average cost of retrofit was determined to be $1/sq feet of heated area. Using this investment cost and annual savings, the carbon price was determined to be 133.37 $/metric ton of CO2 equivalent reduction. Sensitivity analysis conducted for this carbon price showed that the factors that had the largest impact on carbon price are the initial investment and annual energy savings. The final set of recommendations provided to DCOI are based upon the results obtained from the City of Durham data analysis and the comparative programs and carbon price study along with the essential project requirements for meeting the Verified Carbon Standard carbon offset program criteria.Item Open Access Duke Carbon Offsets Initiative: Energy Efficiency Carbon Offsets A Project Evaluation(2013-04-26) Lu, Yichen (Aaron)Duke University aims to achieve carbon neutrality by 2024 by a combination of efforts to reduce on campus energy consumption and off campus carbon offset generation. One of the offset options that DCOI is evaluating is energy efficiency retrofits in residential buildings leading to indirect emission reductions. The problem we have attempted to address in our project is how Duke University can identify potential carbon offset opportunities in terms of improving energy efficiency in homes and businesses and how these offsets can be verified and quantified. In order to determine the feasibility of energy efficiency carbon offsets the team started with evaluating data from a similar residential retrofitting project implemented by the City of Durham’s Sustainability Office. The pre and post retrofit energy consumption data from these houses was analyzed to determine the energy savings and resultant carbon emissions reduction. The average emission reduction obtained from this project was then used to determine the carbon price. This carbon price was used to conduct a comparative analysis with carbon prices found in the market, literature and regulations. The second step of the project involved studying energy efficiency retrofit projects that have been undertaken in other regions at various levels and sizes. The last question that this project aimed to answer was regarding the suitability of various financing mechanisms for the retrofitting project. In order to address this question a demand assessment survey was designed to determine the willingness of Duke employees to participate in such a program and pay for the retrofits. DCOI plans to conduct the survey in the foreseeable future. The results of our analysis showed that average electricity savings of 113.13 KWh per month can be generated through retrofits including air and duct sealing and insulation enhancement. The average cost of retrofit was determined to be $1/sq feet of heated area. Using this investment cost and annual savings, the carbon price was determined to be 133.37 $/metric ton of CO2 equivalent reduction. Sensitivity analysis conducted for this carbon price showed that the factors that had the largest impact on carbon price are the initial investment and annual energy savings. To further evaluate the results, we compared the City of Durham’s returns on investment in terms of energy reduction, 0.97 kWh/$, and in terms of greenhouse gas reduction, 0.00046 metric ton of CO2 equivalent/$, to returns on investment of 22 other residential energy efficiency programs around the U.S. The City of Durham program lies in the middle of the range of return on investment indicators. The calculated carbon price of 133.37 $/metric ton of CO2 equivalent reduction, compared to 13.00 $/metric ton of CO2 equivalent reduction median of 44 other carbon prices found in regulation, literature, and market is extremely high. The final set of recommendations provided to DCOI are based upon the results obtained from the City of Durham data analysis and the comparative programs and carbon price study along with the essential project requirements for meeting the Verified Carbon Standard carbon offset program criteria.Item Open Access Duke Carbon Offsets Initiative: Energy Efficiency Carbon Offsets A Project Evaluation(2013-04-26) Lu, Yichen (Aaron); Chauhan, Sugandha; Chen, YunzhongDuke University aims to achieve carbon neutrality by 2024 by a combination of efforts to reduce on campus energy consumption and off campus carbon offset generation. One of the offset options that DCOI is evaluating is energy efficiency retrofits in residential buildings leading to indirect emission reductions. The problem we have attempted to address in our project is how Duke University can identify potential carbon offset opportunities in terms of improving energy efficiency in homes and businesses and how these offsets can be verified and quantified. In order to determine the feasibility of energy efficiency carbon offsets the team started with evaluating data from a similar residential retrofitting project implemented by the City of Durham’s Sustainability Office. The pre and post retrofit energy consumption data from these houses was analyzed to determine the energy savings and resultant carbon emissions reduction. The average emission reduction obtained from this project was then used to determine the carbon price. This carbon price was used to conduct a comparative analysis with carbon prices found in the market, literature and regulations. The second step of the project involved studying energy efficiency retrofit projects that have been undertaken in other regions at various levels and sizes. The last question that this project aimed to answer was regarding the suitability of various financing mechanisms for the retrofitting project. In order to address this question a demand assessment survey was designed to determine the willingness of Duke employees to participate in such a program and pay for the retrofits. DCOI plans to conduct the survey in the foreseeable future. The results of our analysis showed that average electricity savings of 113.13 KWh per month can be generated through retrofits including air and duct sealing and insulation enhancement. The average cost of retrofit was determined to be $1/sq feet of heated area. Using this investment cost and annual savings, the carbon price was determined to be 133.37 $/metric ton of CO2 equivalent reduction. Sensitivity analysis conducted for this carbon price showed that the factors that had the largest impact on carbon price are the initial investment and annual energy savings. To further evaluate the results, we compared the City of Durham’s returns on investment in terms of energy reduction, 0.97 kWh/$, and in terms of greenhouse gas reduction, 0.00046 metric ton of CO2 equivalent/$, to returns on investment of 22 other residential energy efficiency programs around the U.S. The City of Durham program lies in the middle of the range of return on investment indicators. The calculated carbon price of 133.37 $/metric ton of CO2 equivalent reduction, compared to 13.00 $/metric ton of CO2 equivalent reduction median of 44 other carbon prices found in regulation, literature, and market is extremely high. The final set of recommendations provided to DCOI are based upon the results obtained from the City of Durham data analysis and the comparative programs and carbon price study along with the essential project requirements for meeting the Verified Carbon Standard carbon offset program criteria.Item Open Access Financial and Economic Analyses of Biogas-to-Energy Projects in Brazil(2011-04-29) Lassner, KarinaThe Alegria Wastewater Treatment Plant (WWTP) is one of the largest wastewater treatment plants in Brazil. It is owned by the Companhia Estadual de Aguas e Esgotos, the state agency that manages and treats most of the sewage water in Rio. Sewage at the WWTP is treated through several different processes, including sedimentation tanks and anaerobic reactors. A byproduct of sewage treatment via anaerobic digestion is biogas. After it is processed to required standards of purity, biogas becomes a renewable fuel for electricity generation or a substitute for natural gas. Currently, Alegria WWTP flares the biogas produced in the anaerobic reactors. In doing so, the WWTP is incurring operational costs and wasting a valuable source of energy. However, looking into the future, Alegria WWTP intends to use the energy stored in the biogas to generate electricity or natural gas. This study aimed to analyze what is the best use of the WWTP’s biogas from both the financial and economic perspectives. A discounted cash flow (DCF) analysis was used to compare the net befits of a biogas-to-electricity project (Green Electricity Project) and a biogas-to-renewable natural gas project (RNG Project). Analyses of the CO2 emissions reductions from each project were also performed. The methods used in this study included on-site data collection, literature review and interviews with industry specialists. Results from the study showed that both projects have high and positive net present value. However, the RNG project generated larger benefits for both the private investor and the economy as a whole. With regards to the environmental benefits, the emissions reductions obtained through the implementation of an RNG project were also higher than for a green electricity project. By implementing an RNG project the Alegria WWTP will provide an environmentally and economically sustainable solution for biogas treatment and will serve as a model for other wastewater treatment plants in Brazil.Item Open Access Investigating Biosphere-Atmosphere Interactions from Leaf to Atmospheric Boundary Layer Scales(2007-03-14T16:05:01Z) Juang, Jehn-YihThe interaction between terrestrial ecosystems and the atmosphere continues to be a central research theme within climate, hydrology, and ecology communities. This interest is stimulated by research issues pertinent to both the fundamental laws and the hierarchy of scales. To further explorer such topics over various spatial and temporal domains, in this study, biosphere-atmosphere interactions are studied at two different scales, leaf-to-canopy and canopy-to-atmospheric boundary-layer (ABL) scales, by utilizing both models and long-term measurements collected from the Duke Forest AmeriFlux sites. For the leaf-to-canopy scale, two classical problems motivated by contemporary applications are considered: (1) ‘inverse problem’ – determination of nighttime ecosystem respiration, and (2) forward problem – estimation of two-way interactions between leaves and their microclimate ‘’. An Eulerian inverse approach was developed to separate aboveground respiration from forest floor efflux using mean CO2 concentration and air temperature profiles within the canopy using detailed turbulent transport theories. The forward approach started with the assumption that canopy physiological, drag, and radiative properties are known. The complexity in the turbulent transport model needed for resolving the two-way interactions was then explored. This analysis considered a detailed multi-layer ecophysiological and radiative model embedded in a hierarchy of Eulerian turbulent closure schemes ranging from well-mixed assumption to third order closure schemes with local thermal-stratification within the canopy. For the canopy-to-ABL scale, this study mainly explored problems pertinent to the impact of the ecophysiological controls on the regional environment. First, the possible combinations of water states (soil moisture and atmospheric humidity) that trigger convective rainfall were investigated, and a distinct ‘envelope’ of these combinations emerged from the measurements. Second, an analytical model as a function of atmospheric and ecophysiological properties was proposed to examine how the potential to trigger convective rainfall shifts over different land-covers. The results suggest that pine plantation, whose area is projected to dramatically increase in the Southeastern US (SE), has greater potential to trigger convective rainfall than the other two ecosystems. Finally, the interplay between ecophysiological and radiative attributes on surface temperature, in the context of regional cooling/warming, was investigated for projected land-use changes in the SE region.Item Open Access PROJECTING ANTHROPOGENIC METHANE EMISSIONS AND POTENTIAL REDUCTION STRATEGIES OF SIX SOURCES IN SIX NATIONS(2007-05) Brundage, Adam MMethane concentrations in our atmosphere have more than doubled since pre-industrial times. Although the rate of change of global concentrations has recently slowed, studies predict that this stabilization will be short-lived. There is a growing need to better understand the emissions sources for this potent greenhouse gas and to assess possible reduction strategies. Global methane emissions pathways have been proposed by the IPCC but the relative contributions from different source types and individual countries is not well determined. I analyze six main anthropogenic sources including emissions from enteric fermentation, rice production, landfills, wastewater treatment, coal mining, and natural gas and oil production. Future changes in the main drivers of population, economic, and technological parameters can impact methane emissions from these six sources in Brazil, China, India, Mexico, Russia, and the United States through 2050. I develop a simple framework to characterize and project methane emissions enabling the building of a business as usual and multiple alternative scenarios. The methane concentration implications of these projections are analyzed using a simple climate model. Finally, a technological potential reduction scenario is proposed by maintaining baseline assumptions while improving methane capture technologies and options. Under business as usual assumptions, global anthropogenic methane emissions are projected to double by 2030 but there is potential to cause a global decrease by 40 % per year of projected baseline levels which would reduce global temperature changes by 0.5 degrees Celsius by 2100.Item Open Access Recommendations on Campus Sustainability Development at Duke Kunshan University(2017-04-28) Rhim, Helena; Ma, HandiAs the Sustainable Duke Office at Duke University determines the next steps on how best to integrate a satellite campus such as Duke Kunshan University (DKU) into its Climate Action Plan, it is important for both DKU and Duke to gain an in-depth understanding of campus sustainability at other higher education institutions. Through a review of literature and a case study of campus sustainability at Hong Kong University of Science & Technology (HKUST), this project seeks to provide a baseline for further studies on sustainable development at DKU by (1) identifying the types of sustainability initiatives currently taking place at HKUST, (2) understanding the specific challenges of implementing such initiatives, and (3) providing recommendations for DKU on how best to incorporate sustainability as it continues to expand its physical campus and academic programs.Item Open Access Reconciling oil palm expansion and climate change mitigation in Kalimantan, Indonesia.(PloS one, 2015-01) Austin, Kemen G; Kasibhatla, Prasad S; Urban, Dean L; Stolle, Fred; Vincent, JeffreyOur society faces the pressing challenge of increasing agricultural production while minimizing negative consequences on ecosystems and the global climate. Indonesia, which has pledged to reduce greenhouse gas (GHG) emissions from deforestation while doubling production of several major agricultural commodities, exemplifies this challenge. Here we focus on palm oil, the world's most abundant vegetable oil and a commodity that has contributed significantly to Indonesia's economy. Most oil palm expansion in the country has occurred at the expense of forests, resulting in significant GHG emissions. We examine the extent to which land management policies can resolve the apparently conflicting goals of oil palm expansion and GHG mitigation in Kalimantan, a major oil palm growing region of Indonesia. Using a logistic regression model to predict the locations of new oil palm between 2010 and 2020 we evaluate the impacts of six alternative policy scenarios on future emissions. We estimate net emissions of 128.4-211.4 MtCO2 yr(-1) under business as usual expansion of oil palm plantations. The impact of diverting new plantations to low carbon stock land depends on the design of the policy. We estimate that emissions can be reduced by 9-10% by extending the current moratorium on new concessions in primary forests and peat lands, 35% by limiting expansion on all peat and forestlands, 46% by limiting expansion to areas with moderate carbon stocks, and 55-60% by limiting expansion to areas with low carbon stocks. Our results suggest that these policies would reduce oil palm profits only moderately but would vary greatly in terms of cost-effectiveness of emissions reductions. We conclude that a carefully designed and implemented oil palm expansion plan can contribute significantly towards Indonesia's national emissions mitigation goal, while allowing oil palm area to double.Item Open Access Seasonal and Interannual Variations of Carbonaceous Aerosols over the Amazon(2020) Hu, AllenThis study examines the seasonal and interannual variabilities of carbonaceous aerosols, including black carbon (BC) and organic carbon (OC), over the years of 2005-2016 by using outputs from the NASA GISS ModelE simulations and observations from the OMI instrument aboard Aura, AERONET stations in Amazon region, and the GoAmazon aircraft campaigns.
Simulated seasonal variations and spatial distributions of surface concentrations of BC and OC in Amazon agree well with those of biomass burning emissions. The concentrations are the highest in the dry season (July-September) and lowest in the wet season (February-May), and the locations of high concentrations follow those of high emissions. ModelE is found to underestimate concentrations of OC and BC. Comparisons of the vertical profiles of OC from ModelE with GoAmazon observations in 2014 show that ModelE underestimates OC at all altitudes. In the dry season, when biomass burning dominates, ModelE captures 42%-86% of OMI AAOD in Amazon over 2005-2016, suggesting a low bias in simulated BC concentrations. Simulated seasonal variations in AOD and AAOD in ModelE differ from OMI observations; simulated AOD (AAOD) values are the highest in the dry season, while OMI observed AOD (AAOD) values are the highest in October-January.
Interannual variations in BC and OC are quantified by relative deviation from the mean (RDEVM). Interannual variations of BC and OC in dry season are much higher than those in wet season. RDEVM values are in the range of -63.2% to 127.2% (-70.8% to 143.8%) for BC (OC) in dry season and in the range of -17.8% to 32.7% (-26.3% to 53.4%) for BC (OC) in wet season. Simulated OC concentrations have larger interannual variability than simulated BC for both the dry and wet seasons. We also found that, compared with OMI observations, ModelE overestimates the interannual variability of AOD and AAOD in the Amazon region for both the dry and wet seasons.
Results from this study contribute to the understanding of aerosol distributions in the Amazon and have implications for the impact of carbonaceous aerosols on climate on an interannual timescale.
Item Open Access The Sustainable Palm Oil Puzzle: Evaluating Land Management Strategies for Forest Conservation and Climate Change Mitigation in the Global Palm Oil Industry(2018) Austin, KemenThis research evaluates the potential for regulatory measures governing oil palm plantation expansion, and corporate voluntary sustainability commitments in the oil palm industry, to contribute to forest protection and greenhouse gas emissions reduction goals at regional and national scales, using case studies from Indonesia and Gabon. Globally, agricultural production will need to increase by 60–110% by 2050, to meet anticipated demand for food, fiber and biofuels (Alexandratos and Bruinsma, 2012; Tilman et al., 2011). Achieving this increase without negative consequences for forests, biodiversity, and climate will require innovative solutions including increasing productivity, minimizing waste and inefficiencies, improving food distribution and access, shifting diet preferences, and optimizing land use (Foley et al., 2011; Godfray et al., 2010; Newton et al., 2013). Palm oil, which comprises 35% of global vegetable oil consumption, is emblematic of this challenge (Sayer et al., 2012). The production of palm oil is increasing more rapidly than any other oil crop, and an increasingly urban and wealthy global population is anticipated to drive further demand (Hertel, 2011). In Southeast Asia, where 87% of global palm oil production is currently concentrated, industrial-scale plantations nearly quadrupled in extent from 1990–2010 (Gunarso et al., 2013), and drove the conversion of millions of hectares of forest and peat lands (Carlson et al., 2013; Koh et al., 2011). There is therefore growing concern among environmental advocates that, if appropriate safeguards are not put in place, future expansion of oil palm cultivation will reflect historical patterns, leading to the continued destruction of biodiversity- and carbon-rich forest landscapes (Linder, 2013; Wich et al., 2014). In response to these concerns, government and private sector stakeholders have proposed or established policies aimed at minimizing the negative environmental consequences of oil palm production. Here, I investigate the potential impacts of these programs and policies by examining historical trends in industrial-scale oil palm plantation expansion patterns, predicting business-as-usual trajectories of future plantation expansion, and estimating the potential impacts of alternative policy scenarios on future plantation development, and on forests, peatlands, and carbon stocks. In Chapter 1, I provide background information on palm oil and its uses, cultivation requirements, production patterns, and documented environmental impacts. I additionally discuss actual or proposed government regulations and private sector sustainability initiatives that are relevant in the contexts of Indonesia and/or Gabon. In Chapter 2, I present an analysis of patterns of oil palm expansion, and impacts on forest and peat lands, in Indonesia from 1995–2015. In Chapter 3, I develop predictions of future Indonesian oil palm expansion under a range of policy scenarios, and provide estimates of the extent to which these scenarios will contribute to forest protection and concomitant CO2 emissions reductions. In Chapter 4, I evaluate the extent to which greenhouse gas emissions reductions in the oil palm sector will contribute to Indonesia’s national mitigation goals, given uncertainties in the current national greenhouse gas inventory system. In Chapter 5, I develop national suitability maps for oil palm cultivation in Gabon, a new frontier of oil palm expansion, and identify priority areas which have the potential to support production goals while protecting forest landscapes. Finally, I summarize findings across these studies, present next steps, and provide concluding remarks in Chapter 6.