LI-CHUN HUANGYU-HUI CHENChen, Ya HuiYa HuiChenWang, Chi FangChi FangWangMING-CHE HU2023-03-272023-03-272018-02-082071-1050https://scholars.lib.ntu.edu.tw/handle/123456789/629748https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85041710139&doi=10.3390%2fsu10020446&partnerID=40&md5=059bc0e31252036685c646f7ed1eb3e5This research aims to analyze the food-energy interactive nexus of sustainable urban plant factory systems. Plant factory systems grow agricultural products within artificially controlled growing environment and multi-layer vertical growing systems. The system controls the supply of light, temperature, humidity, nutrition, water, and carbon dioxide for growing plants. Plant factories are able to produce consistent and high-quality agricultural products within less production space for urban areas. The production systems use less labor, pesticide, water, and nutrition. However, food production of plant factories has many challenges including higher energy demand, energy costs, and installation costs of artificially controlled technologies. In the research, stochastic optimization model and linear complementarity models are formulated to conduct optimal and equilibrium food-energy analysis of plant factory production. A case study of plant factories in the Taiwanese market is presented.Food-energy tradeoff | Market equilibrium | Plant factory | Stochastic programming[SDGs]SDG2journal article10.3390/su100204462-s2.0-85041710139WOS:000425943100169https://api.elsevier.com/content/abstract/scopus_id/85041710139