Multi-objective optimization model for sustainable Indonesian electricity system: Analysis of economic, environment, and adequacy of energy sources

Purwanto, Widodo Wahyu; Pratama, Yoga Wienda; Nugroho, Yulianto Sulistyo; Warjito,; Hertono, Gatot Fatwanto; Hartono, Djoni; Deendarlianto,; Tezuka, T.

doi:10.1016/j.renene.2015.03.046

Cited by 54 publications

(22 citation statements)

References 20 publications

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“…Most programs such as WASP IV, EMCAS, UPLAN, and AURORAxmp use such functions [25,26]. On the other hand, recent studies have considered not only such nominal costs of power generation but also the external costs or policy objectives-such as environmental effects [6][7][8][9], energy security [2,10,11], related risk [3,[12][13][14], future uncertainty [15], and other energy policy goals [16][17][18]-as additional constraints. Most of these studies utilize a multi-objective optimization model or portfolio theory.…”

Section: Literature Review: Optimal Electricity Generation MIXmentioning

confidence: 99%

“…Examples of such external costs include human health problems, environmental degradation, energy security, dangers of a major accident with a power plant, etc. In recent years, recognition and responsibility for such external costs of electricity and their internalization have become an important policy issue [5], and thus, recent studies have proposed an electricity mix developed under various constraints [2,3,[6][7][8][9][10][11][12][13][14][15][16][17][18]. This context might explain the global phenomenon in which the proportion of renewable energy is increasing even though it has a lower economic feasibility than conventional energy sources.…”

Section: Introductionmentioning

confidence: 99%

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A Demand-Side Perspective on Developing a Future Electricity Generation Mix: Identifying Heterogeneity in Social Preferences

Huh

Lee

2017

Energies

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Abstract:Public support is an important factor in failure or success of the government decisions with respect to the electricity generation mix, which highlights the necessity of developing an electricity mix that reflects social preferences and acceptance. This study explores heterogeneity in social preferences for power sources and develops an electricity mix from a demand-side perspective. The study utilizes the choice-based conjoint survey and latent class model, and bases its empirical analysis on South Korea's electric power sector. Results demonstrate that preferences for power sources in Korean society consist of two classes: one that is sensitive to the environment and one that is sensitive to risk. An electricity mix for Korea that reflects social preferences is 16.5-19.8% coal-fired, 13.3-24.9% liquefied natural gas (LNG), 9.0-11.2% oil, 22.3-32.9% nuclear, and 18.5-38.9% renewables, depending on the scenario. The study confirms that renewables are the power source with the least potential to cause social conflict, compared to nuclear and coal-fired sources. Moreover, increasing the proportion of renewables (currently only 3.9%) while decreasing the proportion of coal-fired power sources (currently 39.9%) to less than half its current level will result in an electricity mix that is accordance with social preferences in the long run.

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Section: Literature Review: Optimal Electricity Generation MIXmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Demand-Side Perspective on Developing a Future Electricity Generation Mix: Identifying Heterogeneity in Social Preferences

Huh

Lee

2017

Energies

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“…By using an Excel-based "Energy Optimisation Calculator", reference [18] develop a policy-informed optimal electricity generation scenario to assess the sector's transition to 2050, analysing the level of deployment of electricity generating technologies in line with the 80% by 2050 emission target. Reference [19] presents a multi-objective optimization model for a long-term generation mix in Indonesia to assess the economic, environment, and adequacy of local energy sources. Reference [20] compared generation portfolios on the basis of expected costs, cost risk and greenhouse gas emissions, with a view to understanding the merits and disadvantages of gas and renewable technologies by applying a Monte-Carlo based generation portfolio modelling tool.…”

Section: Literature Reviewsmentioning

confidence: 99%

Sustainable Energy Transitions in China: Renewable Options and Impacts on the Electricity System

et al. 2016

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Abstract:Chinese energy consumption has been dominated by coal for decades, but this needs to change to protect the environment and mitigate anthropogenic climate change. Renewable energy development is needed to fulfil the Intended Nationally Determined Contribution (INDC) for the post-2020 period, as stated on the 2015 United Nations Climate Change Conference in Paris. This paper reviews the potential of renewable energy in China and how it could be utilised to meet the INDC goals. A business-as-usual case and eight alternative scenarios with 40% renewable electricity are explored using the EnergyPLAN model to visualise out to the year 2030. Five criteria (total cost, total capacity, excess electricity, CO 2 emissions, and direct job creation) are used to assess the sustainability of the scenarios. The results indicate that renewables can meet the goal of a 20% share of non-fossil energy in primary energy and 40%-50% share of non-fossil energy in electricity power. The low nuclear-hydro power scenario is the most optimal scenario based on the used evaluation criteria. The Chinese government should implement new policies aimed at promoting integrated development of wind power and solar PV.

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“…The indicators used to quantify effects vary among studies, sometimes reflecting differences in research goals and data availability [27]. In addition, many studies focus on greenhouse gas emissions, potentially missing other important environmental effects [28][29][30]. While numerous studies have reviewed decision-analysis methods for energy planning (recent reviews include [20][21][22][23][24][31][32][33]), an in-depth analysis of the indicators used to compare effects of different energy systems has not been previously conducted.…”

Section: Introductionmentioning

confidence: 99%

Review of indicators for comparing environmental effects across energy sources

Dorning

Diffendorfer

Loss

et al. 2019

Environ. Res. Lett.

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Robust, quantitative comparisons of environmental effects across energy sources can support development of energy planning strategies that meet growing demand while managing and minimizing undesirable effects on environmental resources. Multicriteria analyses of energy systems often use a suite of indicators to make such comparisons, but those indicators and their units of measure vary among studies. We reviewed 179 papers that described or applied energy indicators to compare environmental effects of different primary energy sources to answer four questions:(1) what environmental indicators have been used in multicriteria energy-source comparisons? (2) across studies, how consistently are these indicators used to quantify effects? (3) to what degree are different effects accounted for across energy sources and locations? and (4) how comprehensive are indicators in terms of assessing known environmental effects? For reviewed studies, we quantified the number of unique indicators and the diversity of indicators used to measure different effects. We also recorded the specific measurement units applied to quantify each indicator, the energy sources evaluated, and the continent where each study was conducted. While we found that many environmental effects of energy development have been analyzed across multiple sources, indicators were frequently measured, interpreted, and applied in ways that are not directly comparable, and some known environmental effects were infrequently assessed. We also found an emphasis on applying indicators to renewable energy sources; assessing current and potential energy sources, both renewable and nonrenewable, would greatly clarify the full suite of tradeoffs among sources and can inform energy development strategies that minimize adverse environmental effects. Overall, our review indicated that making comprehensive comparisons of the effects of energy development across sources may require efforts to standardize how effects are measured, synthesize effects literature into an open-source database, expand the range of environmental effects analyzed, and establish consistent frameworks for comparison.

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Multi-objective optimization model for sustainable Indonesian electricity system: Analysis of economic, environment, and adequacy of energy sources

Cited by 54 publications

References 20 publications

A Demand-Side Perspective on Developing a Future Electricity Generation Mix: Identifying Heterogeneity in Social Preferences

A Demand-Side Perspective on Developing a Future Electricity Generation Mix: Identifying Heterogeneity in Social Preferences

Sustainable Energy Transitions in China: Renewable Options and Impacts on the Electricity System

Review of indicators for comparing environmental effects across energy sources

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