analytic hierarchy process; carbon neutrality; energy planning; low-carbon energy; power plant; spatial suitability; Carbon emissions; Carbon neutralities; Electricity supply; Energies (power); Energy planning; Future energies; Low carbon energies; Low-carbon electricities; Spatial suitability; Yangtze river delta; Renewable Energy, Sustainability and the Environment; Building and Construction; Fuel Technology; Engineering (miscellaneous); Energy Engineering and Power Technology; Energy (miscellaneous); Control and Optimization; Electrical and Electronic Engineering
Abstract :
[en] China announced a target of achieving carbon neutrality by 2060. As one of the most promising pathways to minimize carbon emissions, the low-carbon electricity supply is of high consideration in China’s future energy planning. The main purpose of this study is to provide a comparative overview of the regional siting potential of various low-carbon power plants in the Yangtze River Delta of China. First, unsuitable zones for power plants are identified and excluded based on national regulations and landscape constraints. Second, we evaluate the spatial siting potential of the seven low-carbon energy power plants by ranking their suitability with geographic information system (GIS)-based hierarchical analysis (AHP). The results revealed that around 78% of the area is suitable for power plant siting. In summary, biomass power plants have high siting potential in over half of the spatial areas. Solar photovoltaic and waste-to-electricity are encouraged to establish in the long-term future. The maps visualize micro-scale spatial siting potential and can be coupled with the sustainability assessments of power plants to design an explicit guiding plan for future power plant allocation.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Peng, Yechennan ; Institute of Geography, Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany ; School of Integrated Climate System Sciences, University of Hamburg, Hamburg, Germany
Azadi, Hossein ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement ; Institute of Geography, Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany
Yang, Liang ; Department of Geography, Ludwig Maximilians University of Munich (LMU), Munich, Germany
Scheffran, Jürgen ; Institute of Geography, Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany
Jiang, Ping; Department of Environmental Science & Engineering, Fudan University, Shanghai, China
Language :
English
Title :
Assessing the Siting Potential of Low-Carbon Energy Power Plants in the Yangtze River Delta: A GIS-Based Approach
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Bibliography
European Commission. Going Climate-Neutral by 2050: A Strategic Long-Term Vision for a Prosperous, Modern, Competitive and Climate-Neutral EU Economy; Publications Office of the European Union: Luxembourg, 2019.
McGrath, M. Climate change: China aims for “carbon neutrality by 2060”. BBC News, 22 September 2020.
DCREA. China Nationally Determined Contribution (NDC) and Domestic 14th Power Five-Year-Plan (FYP); Draworld Environmental Research Center: Beijing, China, 2020.
Liu, S. Chinese Economic Growth and Fluctuations, 1st ed.; Routledge: New York, NY, USA, 2017; pp. 1–196. [CrossRef]
Dong, K.; Hochman, G.; Zhang, Y.; Sun, R.; Li, H.; Liao, H. CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions. Energy Econ. 2018, 75, 180–192. [CrossRef]
Peng, Y.; Yang, L.E.; Scheffran, J.; Yan, J.; Li, M.; Jiang, P.; Wang, Y.; Cremades, R. Livelihood transitions transformed households’ carbon footprint in the Three Gorges Reservoir area of China. J. Clean. Prod. 2021, 328, 129607. [CrossRef]
Peng, Y.; Yang, L.E.; Scheffran, J. A life-cycle assessment framework for quantifying the carbon footprint of rural households based on survey data. MethodsX 2021, 8, 101411. [CrossRef] [PubMed]
IEC. China: Energy Efficiency Report, 2018; International Energy Chater: Brussels, Belgium, 2018; ISBN 9789059482036.
Zheng, B.; Wang, S.; Xu, J. A Review on the CO2 Emission Reduction Scheme and Countermeasures in China’s Energy and Power Industry under the Background of Carbon Peak. Sustainability 2022, 14, 879. [CrossRef]
IEA. China’s Emissions Trading Scheme; IEA Publications: Paris, France, 2020.
UNFCCC. The Paris Agreement. 2015. Available online: https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement (accessed on 12 July 2021).
NEA. The 13th Five-Year Plan for Energy Development; National Energy Administration: Beijing, China, 2016.
NEA. Starting Work of “14th Five-Year Plan” Power Planning. 2020. Available online: http://www.gov.cn (accessed on 25 July 2021).
Voivontas, D.; Assimacopoulos, D.; Mourelatos, A. Evaluation of renewable energy potential using a GIS decision support system. Renew. Energy 1998, 13, 333–344. [CrossRef]
Soha, T.; Papp, L.; Csontos, C.; Munkácsy, B. The importance of high crop residue demand on biogas plant site selection, scaling and feedstock allocation—A regional scale concept in a Hungarian study area. Renew. Sustain. Energy Rev. 2021, 141, 110822. [CrossRef]
Ali, S.; Waewsak, J. GIS-MCDM approach to scrutinize the suitable sites for a biomass power plant in southernmost provinces of Thailand. IOP Conf. Ser. Earth Environ. Sci. 2019, 265, 012021. [CrossRef]
Pergola, M.; Rita, A.; Tortora, A.; Castellaneta, M.; Borghetti, M.; De Franchi, A.S.; Lapolla, A.; Moretti, N.; Pecora, G.; Pierangeli, D.; et al. Identification of suitable areas for biomass power plant construction through environmental impact assessment of forest harvesting residues transportation. Energies 2020, 13, 2699. [CrossRef]
Van Holsbeeck, S.; Srivastava, S.K. Feasibility of locating biomass-to-bioenergy conversion facilities using spatial information technologies: A case study on forest biomass in Queensland, Australia. Biomass Bioenergy 2020, 139, 105620. [CrossRef]
Zhu, J.; Li, Y.; Jiang, P.; Hu, B.; Yang, L.E. Analysis on the Dynamic Evolution of Bioenergy Industry in the Yangtze River Delta Based on Multilevel Social Network Theory. Energies 2021, 13, 6383. [CrossRef]
Solangi, Y.A.; Shah, S.A.A.; Zameer, H.; Ikram, M.; Saracoglu, B.O. Assessing the solar PV power project site selection in Pakistan: Based on AHP-fuzzy VIKOR approach. Environ. Sci. Pollut. Res. 2019, 26, 30286–30302. [CrossRef] [PubMed]
Yilan, G.; Kadirgan, M.A.N.; Çiftçioğlu, G.A. Analysis of electricity generation options for sustainable energy decision making: The case of Turkey. Renew. Energy 2020, 146, 519–529. [CrossRef]
Rios, R.; Duarte, S. Selection of ideal sites for the development of large-scale solar photovoltaic projects through Analytical Hierarchical Process – Geographic information systems (AHP-GIS) in Peru. Renew. Sustain. Energy Rev. 2021, 149, 111310. [CrossRef]
Chen, W.; Zhu, Y.; Yang, M.; Yuan, J. Optimal site selection ofwind-solar complementary power generation project for a large-scale plug-in charging station. Sustainability 2017, 9, 1994. [CrossRef]
Shaaban, M.; Scheffran, J.; Böhner, J.; Elsobki, M.S. Sustainability Assessment of Electricity Generation Technologies in Egypt Using Multi-Criteria Decision Analysis. Energies 2018, 11, 1117. [CrossRef]
Feyzi, S.; Khanmohammadi, M.; Abedinzadeh, N.; Aalipour, M. Multi-criteria decision analysis FANP based on GIS for siting municipal solid waste incineration power plant in the north of Iran. Sustain. Cities Soc. 2019, 47, 101513. [CrossRef]
Derdouri, A.; Murayama, Y. Geostatistics: An Overview Onshore Wind Farm Suitability Analysis Using GIS-based Analytic Hierarchy Process: A Case Study of Fukushima. Geoinform. Geostat. Overv. Res. 2018, 16, 2. [CrossRef]
Wang, C.N.; Tsai, T.T.; Huang, Y.F. A model for optimizing location selection for biomass energy power plants. Processes 2019, 7, 353. [CrossRef]
Cunden, T.S.M.; Doorga, J.; Lollchund, M.R.; Rughooputh, S.D.D.V. Multi-level constraints wind farms siting for a complex terrain in a tropical region using MCDM approach coupled with GIS. Energy 2020, 211, 118533. [CrossRef]
Jamshed, A.; Saleem, A.A.; Javed, S.; Riffat, M. Site Suitability Analysis for Developing Wind Farms in Pakistan: A GIS-Based Multi-Criteria Modeling Approach. Sci. Technol. Dev. 2018, 37, 195–201. [CrossRef]
Xing, L.; Wang, Y. A practical wind farm siting framework integrating ecosystem services—A case study of coastal China. Environ. Impact Assess. Rev. 2021, 90, 106636. [CrossRef]
Xu, Y.; Li, Y.; Zheng, L.; Cui, L.; Li, S.; Li, W.; Cai, Y. Site selection of wind farms using GIS and multi-criteria decision making method in Wafangdian, China. Energy 2020, 207, 118222. [CrossRef]
Tercan, E.; Eymen, A.; Urfalı, T.; Saracoglu, B.O. A sustainable framework for spatial planning of photovoltaic solar farms using GIS and multi-criteria assessment approach in Central Anatolia, Turkey. Land Use Policy 2021, 102, 105272. [CrossRef]
Yousefi, H.; Hafeznia, H.; Yousefi-Sahzabi, A. Spatial site selection for solar power plants using a gis-based boolean-fuzzy logic model: A case study of Markazi Province, Iran. Energies 2018, 11, 1648. [CrossRef]
Wang, C.-N.; Hsueh, M.-H.; Lin, D.-F. Hydrogen Power Plant Site Selection Under Fuzzy Multicriteria Decision-Making (FMCDM) Environment Conditions. Symmetry 2019, 11, 596. [CrossRef]
Yan, X.; Yang, J.; Zheng, K. Key Issues and Trends of Pumped Storage Development at Present. 2019. Available online: https://news.bjx.com.cn/html/20190409/973565.shtml (accessed on 21 May 2021). (In Chinese)
Yang, L.; Lü, Y.; Zheng, H. Review on research of urban land carrying capacity. Prog. Geogr. 2010, 29, 593–600.
Taminiau, J.; Byrne, J.; Kim, J.; Kim, M.W.; Seo, J. Infrastructure-scale sustainable energy planning in the cityscape: Transforming urban energy metabolism in East Asia. Wiley Interdiscip. Rev. Energy Environ. 2021, 10, e397. [CrossRef]
Shanghai Statistical Bureau. Shanghai Statistical Yearbook. 2020. Available online: http://www.stats-sh.gov.cn (accessed on 20 May 2021).
Anhui Statistical Bureau. Anhui Statistical Yearbook. 2020. Available online: http://tjj.ah.gov.cn/ssah/qwfbjd/tjnj/index.html (accessed on 22 May 2021).
Zhejiang Statistical Bureau. Zhejiang Statistical Yearbook. 2020. Available online: https://tjj.zj.gov.cn/col/col1525563/index.html (accessed on 20 May 2021).
Jiangsu Statistical Bureau. Jiangsu Statistical Yearbook; 2020. Available online: http://tj.jiangsu.gov.cn (accessed on 21 May 2021).
Tsinghua University Power Installation and Power Generation Data Handbook. 2020. Available online: https://cloud.tsinghua. edu.cn/f/4c6ff1461fd747de8b32/(accessed on 29 April 2021).
General Office of the State Council. Outline of the Plan for Integrated Regional Development of the Yangtze River Delta; The State Council the People’s Republic of China: Beijing, China, 2019.
Siefi, S.; Karimi, H.; Soffianian, A.R.; Pourmanafi, S. GIS-Based Multi Criteria Evaluation for Thermal Power Plant Site Selection in Kahnuj County, SE Iran. Civ. Eng. Infrastruct. J. 2017, 50, 179–189. [CrossRef]
General Office of the State Council of the People’s Republic of China. Regulations on the Management of Taihu Lake. Available online: http://www.gov.cn/(accessed on 21 May 2021).
General Office of the State Council of the People’s Republic of China. Regulations of the People’s Republic of China on Nature Reserves. 1994. Available online: http://www.gov.cn/(accessed on 21 May 2021).
Sliz-Szkliniarz, B.; Vogt, J. GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko-Pomorskie Voivodeship. Renew. Sustain. Energy Rev. 2011, 15, 1696–1707. [CrossRef]
Panagiotidou, M.; Xydis, G.; Koroneos, C. Environmental siting framework for wind farms: A case study in the Dodecanese Islands. Resources 2016, 5, 24. [CrossRef]
Lin, W.; Wu, M.; Zhang, Y.; Zeng, R.; Zheng, X.; Shao, L.; Zhao, L.; Li, S.; Tang, Y. Regional differences of urbanization in China and its driving factors. Sci. China Earth Sci. 2018, 61, 778–791. [CrossRef]
Baseer, M.A.; Rehman, S.; Meyer, J.P.; Alam, M.M. GIS-based site suitability analysis for wind farm development in Saudi Arabia. Energy 2017, 141, 1166–1176. [CrossRef]
Li, J.; Gao, H.; Shi, P.; Shi, J.; Ma, L.; Qin, H.; Yanqin, S. China Wind Power Report·2007 Greenpeace Coordinators; China Environmental Science Press: Beijing, China, 2007.
Yang, J.; Liu, Q.; Li, X.; Cui, X. Overview of wind power in China: Status and future. Sustainability 2017, 9, 1454. [CrossRef]
Nuclear Energy Agency; International Atomic Energy Agency. Uranium 2016: Resources, Production and Demand-Executive Summary; Nuclear Energy Agency: Boulogne-Billancourt, France, 2016.
Gao, J.; Zhao, P.; Zhang, H.; Mao, G.; Wang, Y. Operational water withdrawal and consumption factors for electricity generation technology in China-A literature review. Sustainability 2018, 10, 1181. [CrossRef]
Odhiambo, M.R.O.; Abbas, A.; Wang, X.; Mutinda, G. Solar Energy Potential in the Yangtze River Delta Region—A GIS-Based Assessment. Energies 2020, 14, 143. [CrossRef]
Ferretti, V.; Pomarico, S. Integrated sustainability assessments: A spatial multicriteria evaluation for siting a waste incinerator plant in the Province of Torino (Italy). Environ. Dev. Sustain. 2012, 14, 843–867. [CrossRef]
Solangi, Y.A.; Tan, Q.; Mirjat, N.H.; Ali, S. Evaluating the strategies for sustainable energy planning in Pakistan: An integrated SWOT-AHP and Fuzzy-TOPSIS approach. J. Clean. Prod. 2019, 236, 117655. [CrossRef]
Wu, Y.; Qin, L.; Xu, C.; Ji, S. Site selection of waste-to-energy (WtE) plant considering public satisfaction by an extended vikor method. Math. Probl. Eng. 2018, 2018, 5213504. [CrossRef]
Chien, F.; Wang, C.N.; Nguyen, V.T.; Nguyen, V.T.; Chau, K.Y. An evaluation model of quantitative and qualitative fuzzy multi-criteria decision-making approach for hydroelectric plant location selection. Energies 2020, 13, 2783. [CrossRef]
Jeong, J.S.; Ramírez-Gómez, Á. Optimizing the location of a biomass plant with a fuzzy-DEcision-MAking Trial and Evaluation Laboratory (F-DEMATEL) and multi-criteria spatial decision assessment for renewable energy management and long-term sustainability. J. Clean. Prod. 2018, 182, 509–520. [CrossRef]
Peng, H.M.; Wang, X.K.; Wang, T.L.; Liu, Y.H.; Wang, J.Q. A multi-criteria decision support framework for inland nuclear power plant site selection under Z-Information: A case study in hunan province of China. Mathematics 2020, 8, 252. [CrossRef]
Li, X.; Gui, F.; Li, Q. Can hydropower still be considered a clean energy source? Compelling evidence from a middle-sized hydropower station in China. Sustainability 2019, 11, 4261. [CrossRef]
Ramos, A.; Teixeira, C.A.; Rouboa, A. Environmental analysis of waste-to-energy-a Portuguese case study. Energies 2018, 11, 548. [CrossRef]
Google Global Energy Observatory; KTE Royal Institute of Technology in Stockholm; World Resources Institute Enipedia. Global Power Plant Database. Available online: http://datasets.wri.org/dataset/globalpowerplantdatabase (accessed on 25 June 2020).
NDRC. NEA Medium and Long Term Gas Pipeline Planning; National Development and Reform Commission: Beijing, China, 2017.
Ministry of natural resources of the People’s Republic of China. China Mineral Resource; Geological Publishing House: Beijing, China, 2020.
World Bank; Technical University of Denmark. Mean Wind Power Density in Height 100 m in China. Available online: https://globalwindatlas.info/about/introduction (accessed on 23 June 2020).
Solargis; World Bank. Annual Global Horizontal Irradiance–China-Global Solar Atlas 2.0. Available online: https://globalsolaratlas.info/map (accessed on 20 June 2020).
Geospatial Data Cloud Site; Computer Network Information Center; Chinese Academy of Sciences. SRTM 90 m Digital Elevation Database. Available online: https://www.gscloud.cn/(accessed on 23 June 2020).
Ministry of Nutural Resources of the People’s Republic of China; National Geomatic Center of China; National Remote Sensing Center of China. Group on Earth Observations Global Land 30. Available online: http://www.globallandcover.com/(accessed on 23 June 2020).
National Catalogue Service For Geographic Infomation 1:1 Million National Basic Geographic Database. Available online: https://www.webmap.cn/commres.do?method=result100W (accessed on 19 May 2020).
OSM OpenStreetMap. Available online: https://www.openstreetmap.de (accessed on 27 June 2020).
Xingliang, X. Grid Data Set of Spatial Population Distribution of China in One Kilometer. Available online: http://www.resdc.cn (accessed on 25 May 2020).
Wei, X.; Duan, Y.; Liu, Y.; Jin, S.; Sun, C. Onshore-offshore wind energy resource evaluation based on synergetic use of multiple satellite data and meteorological stations in Jiangsu Province, China. Front. Earth Sci. 2019, 13, 132–150. [CrossRef]
Bódis, K.; Monforti, F.; Szabó, S. Could Europe have more mini hydro sites? A suitability analysis based on continentally harmonized geographical and hydrological data. Renew. Sustain. Energy Rev. 2014, 37, 794–808. [CrossRef]
Ingason, H.T.; Pall Ingolfsson, H.; Jensson, P. Optimizing site selection for hydrogen production in Iceland. Int. J. Hydrogen Energy 2008, 33, 3632–3643. [CrossRef]
Zhao, W.; Liu, X.; Deng, Q.; Li, D.; Xu, J.; Li, M.; Cui, Y. Spatial Association of Urbanization in the Yangtze River Delta, China. Int. J. Environ. Res. Public Health 2020, 17, 7276. [CrossRef]
Wang, Y.; Dong, W.; Boelens, L. The interaction of city and water in the Yangtze River Delta, a natural/artificial comparison with Euro Delta. Sustainability 2018, 10, 109. [CrossRef]
Bu, M.; Luo, H. Globalization and Energy Consumption in the Yangtze River Delta; Shujie, Y., Maria Jesus, H., Eds.; Palgrave Macmillan UK: London, UK, 2014.
NEA. The 13th Five-Year Plan for Electric Power Development; National Energy Administration: Beijing, China, 2016.
CEC. Research on “14th Five-Year Plan” Plan of Electric Power Industry; China Electricity Council: Beijing, China, 2020. (In Chinese)
World Resources Institute. Potential and Viosion of Distributed Renewable Energy in Yangtze River Delta Region; Energy Founfation: Beijing, China, 2021.
Spyridonidou, S.; Sismani, G.; Loukogeorgaki, E.; Vagiona, D.G.; Ulanovsky, H.; Madar, D. Sustainable Spatial Energy Planning of Large-Scale Wind and PV Farms in Israel: A Collaborative and Participatory Planning Approach. Energies 2021, 14, 551. [CrossRef]
Shu, K.; Scheffran, J.; Schneider, U.A.; Yang, L.E.; Elflein, J. Reconciling food and bioenergy feedstock supply in emerging economies: Evidence from Jiangsu Province in China. Int. J. Green Energy 2017, 14, 509–521. [CrossRef]
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