作者: Lisa Göransson , Joel Goop , Mikael Odenberger , Filip Johnsson
DOI: 10.1016/J.APENERGY.2017.04.018
关键词: Environmental engineering 、 Engineering 、 Base load power plant 、 Nameplate capacity 、 Wind power 、 Greenhouse gas 、 Cycling 、 Natural resource economics 、 Investment (macroeconomics) 、 Thermal power station 、 Electricity generation
摘要: A regional cost-minimizing investment model that accounts for cycling properties (i.e., start-up time, minimum load level, cost and emissions, part-load costs emissions) is developed to investigate the impact of thermal plant on cost-optimal composition a electricity generation system. The applied an system rich in wind resources with without accounting two scenarios: one favorable conditions flexible bio-based (Bio scenario); which base favored (Base scenario) owing high prices biomass. Both scenarios are subject tight cap carbon dioxide limiting options technologies have low or no emissions. We report Bio scenario, dominated by power generation, whereas base-load dominates Base line assumptions made, level reduced. In 19% capacity cycling-dependent, i.e., this share installed capacity, choice technology different if included, compared case they omitted. less costly, 9% cycling-dependent. conclude it critical include modeling, assess investments compete at utilization times range 2000–5000 h.