Spatial optimization of the food, energy, and water nexus: A life cycle assessment-based approach
Since the Bonn 2011 Conference, the Food-Energy-Water (FEW) nexus has become one of the most popular global research topics. Understanding and addressing the complex interactions between the FEW components is essential for sustainable development. This study proposes an environmental impact minimiza...
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description | Since the Bonn 2011 Conference, the Food-Energy-Water (FEW) nexus has become one of the most popular global research topics. Understanding and addressing the complex interactions between the FEW components is essential for sustainable development. This study proposes an environmental impact minimization model, which considers the FEW nexus under four climate change scenarios, to optimize the spatial distribution of three energy crops (rice, corn, and sugarcane). Life cycle assessment (LCA), linear programming, and a climate change simulation model are integrated to analyze appropriate bioenergy production rates while comparing the benefits of bioenergy with the current renewable energy policy in Taiwan. The major findings of LCA in this study indicate that electricity generation using bio-coal produced from rice straw is very beneficial to the environment. Considering the spatial characteristics of Taiwan, simulations from the spatial optimization model suggested that (a) the rice and corn cultivation areas should be increased in southern Taiwan for bio-coal and bioethanol production, in accordance with the “food and feed priority policy”; and (b) the rice cultivation area should be decreased across Taiwan, based on the “water conservation policy”. In addition, compared to solar power, the development of bioenergy can simultaneously enhance food and energy self-sufficiency.
[Display omitted]
•A useful FEW framework was established using the proposed integrated approach.•FEW nexus policy scenarios are applied to evaluate the environmental performance.•Increased bioenergy crop production in southern Taiwan under the food scenario.•Decreased area of rice cultivation across Taiwan under the water scenario.•Spatial optimization is helpful for proper management of bioenergy policies. |
doi_str_mv | 10.1016/j.enpol.2018.05.009 |
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[Display omitted]
•A useful FEW framework was established using the proposed integrated approach.•FEW nexus policy scenarios are applied to evaluate the environmental performance.•Increased bioenergy crop production in southern Taiwan under the food scenario.•Decreased area of rice cultivation across Taiwan under the water scenario.•Spatial optimization is helpful for proper management of bioenergy policies.</description><identifier>ISSN: 0301-4215</identifier><identifier>EISSN: 1873-6777</identifier><identifier>DOI: 10.1016/j.enpol.2018.05.009</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Alternative energy ; Alternative energy sources ; Biofuels ; Cereal crops ; Climate change ; Coal ; Computer simulation ; Conservation ; Corn ; Crops ; Cultivation ; Electricity generation ; Energy ; Energy development ; Energy distribution ; Energy policy ; Environmental impact ; Environmental policy ; Ethanol ; Food ; Food production ; Food, energy and water nexus (FEW nexus) ; Grain cultivation ; Life cycle analysis ; Life cycle assessment ; Life cycle engineering ; Life cycles ; Linear programming ; Minimization ; Optimization ; Power ; Production ; Renewable energy ; Renewable energy policy ; Rice ; Self sufficiency ; Simulation ; Solar energy ; Solar power ; Spatial analysis ; Spatial distribution ; Straw ; Sugarcane ; Sustainable development ; Water ; Water conservation</subject><ispartof>Energy policy, 2018-08, Vol.119, p.502-514</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Aug 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-9d60280e7363a5dfd8f396338f57880decf8e40e9fabbb22a8650f0f9f18eef13</citedby><cites>FETCH-LOGICAL-c397t-9d60280e7363a5dfd8f396338f57880decf8e40e9fabbb22a8650f0f9f18eef13</cites><orcidid>0000-0002-0266-6071</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S030142151830301X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27843,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Yuan, Kuang-Yu</creatorcontrib><creatorcontrib>Lin, Ying-Chen</creatorcontrib><creatorcontrib>Chiueh, Pei-Te</creatorcontrib><creatorcontrib>Lo, Shang-Lien</creatorcontrib><title>Spatial optimization of the food, energy, and water nexus: A life cycle assessment-based approach</title><title>Energy policy</title><description>Since the Bonn 2011 Conference, the Food-Energy-Water (FEW) nexus has become one of the most popular global research topics. Understanding and addressing the complex interactions between the FEW components is essential for sustainable development. This study proposes an environmental impact minimization model, which considers the FEW nexus under four climate change scenarios, to optimize the spatial distribution of three energy crops (rice, corn, and sugarcane). Life cycle assessment (LCA), linear programming, and a climate change simulation model are integrated to analyze appropriate bioenergy production rates while comparing the benefits of bioenergy with the current renewable energy policy in Taiwan. The major findings of LCA in this study indicate that electricity generation using bio-coal produced from rice straw is very beneficial to the environment. Considering the spatial characteristics of Taiwan, simulations from the spatial optimization model suggested that (a) the rice and corn cultivation areas should be increased in southern Taiwan for bio-coal and bioethanol production, in accordance with the “food and feed priority policy”; and (b) the rice cultivation area should be decreased across Taiwan, based on the “water conservation policy”. In addition, compared to solar power, the development of bioenergy can simultaneously enhance food and energy self-sufficiency.
[Display omitted]
•A useful FEW framework was established using the proposed integrated approach.•FEW nexus policy scenarios are applied to evaluate the environmental performance.•Increased bioenergy crop production in southern Taiwan under the food scenario.•Decreased area of rice cultivation across Taiwan under the water scenario.•Spatial optimization is helpful for proper management of bioenergy policies.</description><subject>Alternative energy</subject><subject>Alternative energy sources</subject><subject>Biofuels</subject><subject>Cereal crops</subject><subject>Climate change</subject><subject>Coal</subject><subject>Computer simulation</subject><subject>Conservation</subject><subject>Corn</subject><subject>Crops</subject><subject>Cultivation</subject><subject>Electricity generation</subject><subject>Energy</subject><subject>Energy development</subject><subject>Energy distribution</subject><subject>Energy policy</subject><subject>Environmental impact</subject><subject>Environmental policy</subject><subject>Ethanol</subject><subject>Food</subject><subject>Food production</subject><subject>Food, energy and water nexus (FEW nexus)</subject><subject>Grain cultivation</subject><subject>Life cycle analysis</subject><subject>Life cycle assessment</subject><subject>Life cycle engineering</subject><subject>Life cycles</subject><subject>Linear programming</subject><subject>Minimization</subject><subject>Optimization</subject><subject>Power</subject><subject>Production</subject><subject>Renewable energy</subject><subject>Renewable energy policy</subject><subject>Rice</subject><subject>Self sufficiency</subject><subject>Simulation</subject><subject>Solar energy</subject><subject>Solar power</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Straw</subject><subject>Sugarcane</subject><subject>Sustainable development</subject><subject>Water</subject><subject>Water conservation</subject><issn>0301-4215</issn><issn>1873-6777</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp9kE1LAzEQhoMoWKu_wEvAa3edbPYjK3go4hcUPKjnkE0mNmW7WZOtWn-9W-vZ0zDwPvMyDyHnDFIGrLxcpdj1vk0zYCKFIgWoD8iEiYonZVVVh2QCHFiSZ6w4JicxrgAgF3U-Ieq5V4NTLfX94Nbue1x8R72lwxKp9d7MKHYY3rYzqjpDP9WAgXb4tYlXdE5bZ5HqrW6RqhgxxjV2Q9KoiIaqvg9e6eUpObKqjXj2N6fk9e725eYhWTzdP97MF4nmdTUktSkhE4AVL7kqjDXC8rrkXNiiEgIMaiswB6ytapomy5QoC7Bga8sEomV8Si72d8fa9w3GQa78JnRjpcygZlnBSpaNKb5P6eBjDGhlH9xaha1kIHcu5Ur-upQ7lxIKObocqes9heMDHw6DjNphp9G4gHqQxrt_-R-ywn7L</recordid><startdate>20180801</startdate><enddate>20180801</enddate><creator>Yuan, Kuang-Yu</creator><creator>Lin, Ying-Chen</creator><creator>Chiueh, Pei-Te</creator><creator>Lo, Shang-Lien</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TA</scope><scope>7TB</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>F28</scope><scope>FQK</scope><scope>FR3</scope><scope>H8D</scope><scope>JBE</scope><scope>JG9</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-0266-6071</orcidid></search><sort><creationdate>20180801</creationdate><title>Spatial optimization of the food, energy, and water nexus: A life cycle assessment-based approach</title><author>Yuan, Kuang-Yu ; Lin, Ying-Chen ; Chiueh, Pei-Te ; Lo, Shang-Lien</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-9d60280e7363a5dfd8f396338f57880decf8e40e9fabbb22a8650f0f9f18eef13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Alternative energy</topic><topic>Alternative energy sources</topic><topic>Biofuels</topic><topic>Cereal crops</topic><topic>Climate change</topic><topic>Coal</topic><topic>Computer simulation</topic><topic>Conservation</topic><topic>Corn</topic><topic>Crops</topic><topic>Cultivation</topic><topic>Electricity generation</topic><topic>Energy</topic><topic>Energy development</topic><topic>Energy distribution</topic><topic>Energy policy</topic><topic>Environmental impact</topic><topic>Environmental policy</topic><topic>Ethanol</topic><topic>Food</topic><topic>Food production</topic><topic>Food, energy and water nexus (FEW nexus)</topic><topic>Grain cultivation</topic><topic>Life cycle analysis</topic><topic>Life cycle assessment</topic><topic>Life cycle engineering</topic><topic>Life cycles</topic><topic>Linear programming</topic><topic>Minimization</topic><topic>Optimization</topic><topic>Power</topic><topic>Production</topic><topic>Renewable energy</topic><topic>Renewable energy policy</topic><topic>Rice</topic><topic>Self sufficiency</topic><topic>Simulation</topic><topic>Solar energy</topic><topic>Solar power</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Straw</topic><topic>Sugarcane</topic><topic>Sustainable development</topic><topic>Water</topic><topic>Water conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yuan, Kuang-Yu</creatorcontrib><creatorcontrib>Lin, Ying-Chen</creatorcontrib><creatorcontrib>Chiueh, Pei-Te</creatorcontrib><creatorcontrib>Lo, Shang-Lien</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Energy policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yuan, Kuang-Yu</au><au>Lin, Ying-Chen</au><au>Chiueh, Pei-Te</au><au>Lo, Shang-Lien</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial optimization of the food, energy, and water nexus: A life cycle assessment-based approach</atitle><jtitle>Energy policy</jtitle><date>2018-08-01</date><risdate>2018</risdate><volume>119</volume><spage>502</spage><epage>514</epage><pages>502-514</pages><issn>0301-4215</issn><eissn>1873-6777</eissn><abstract>Since the Bonn 2011 Conference, the Food-Energy-Water (FEW) nexus has become one of the most popular global research topics. Understanding and addressing the complex interactions between the FEW components is essential for sustainable development. This study proposes an environmental impact minimization model, which considers the FEW nexus under four climate change scenarios, to optimize the spatial distribution of three energy crops (rice, corn, and sugarcane). Life cycle assessment (LCA), linear programming, and a climate change simulation model are integrated to analyze appropriate bioenergy production rates while comparing the benefits of bioenergy with the current renewable energy policy in Taiwan. The major findings of LCA in this study indicate that electricity generation using bio-coal produced from rice straw is very beneficial to the environment. Considering the spatial characteristics of Taiwan, simulations from the spatial optimization model suggested that (a) the rice and corn cultivation areas should be increased in southern Taiwan for bio-coal and bioethanol production, in accordance with the “food and feed priority policy”; and (b) the rice cultivation area should be decreased across Taiwan, based on the “water conservation policy”. In addition, compared to solar power, the development of bioenergy can simultaneously enhance food and energy self-sufficiency.
[Display omitted]
•A useful FEW framework was established using the proposed integrated approach.•FEW nexus policy scenarios are applied to evaluate the environmental performance.•Increased bioenergy crop production in southern Taiwan under the food scenario.•Decreased area of rice cultivation across Taiwan under the water scenario.•Spatial optimization is helpful for proper management of bioenergy policies.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enpol.2018.05.009</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-0266-6071</orcidid></addata></record> |
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subjects | Alternative energy Alternative energy sources Biofuels Cereal crops Climate change Coal Computer simulation Conservation Corn Crops Cultivation Electricity generation Energy Energy development Energy distribution Energy policy Environmental impact Environmental policy Ethanol Food Food production Food, energy and water nexus (FEW nexus) Grain cultivation Life cycle analysis Life cycle assessment Life cycle engineering Life cycles Linear programming Minimization Optimization Power Production Renewable energy Renewable energy policy Rice Self sufficiency Simulation Solar energy Solar power Spatial analysis Spatial distribution Straw Sugarcane Sustainable development Water Water conservation |
title | Spatial optimization of the food, energy, and water nexus: A life cycle assessment-based approach |
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