作者: Wolfram Krewitt , Rolf Frischknecht , Matthias Tuchschmid
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摘要: Mixing LCI data from databases representing today’s situation with for energy systems and technologies that will only be realised in some decades now leads to results do not well represent the environmental impact of intended future situation. This is more true low or zero direct emissions such as wind, photovoltaic. Within European NEEDS project, efficiency production selected relevant commodities are adapted a 2025 2050 Using background based on unit processes change datasets propagates into every dataset. improves accuracy consistency resulting product substantially. In project mix including share these new taken account changes mining, materials transport sectors. It shown consistent modification significantly different those using unmodified data. INTRODUCTION The assessment has long traditions fields life cycle assessment, technology foresight, external costs planning. However, research areas was performed less isolation little interaction between communities. For time, large synergy potentials remained either undiscovered were exploited an extent worth mentioning. But few years ago, leading institutes disproportional knowledge gain combining forsight, cost modelling. They formulated (New Energy Externalities Developments Sustainability), funded within 6th EU framework program. GOAL AND SCOPE OF THE RESEARCH PROJECT developments systems, particular electricity generating technologies, focus project. Assessing impacts potentially promising their performance today today's economies entails severe drawbacks may ultimately lead suboptimal decisions policy. conversion fuel cells material solar dramatically increase coming decades. manufacturing steel, aluminium cement providing services by lorries further improve future. Finally, achieve Commission’s CO2 reduction target, Europe include renewable sources [1, 2]. aims at taking all when assessing term technologies. outcomes help Commission individual countries supply objectives targeted innovations following: Life (LCA): time scenario dependent assessments emerging itself, supply, sectors External costs: Monetary valuation externalities associated production, transport, use, so far insufficiently addressed (like instance land use) modelling: integrating information robust Pan-European model framework. Acceptability stakeholder perspective: identify terms conditions effective implementation longterm policies internalised costs. Examine robustness under various perspectives Transferability generalisation: develop simple way calculating, transferring present default values average/aggregated Integration: structured “protocol” facilitate widespread use integrated analysis SYNERGIES INTERACTION Four main join together: foresight learning curves, first link (Number 1 Fig. 1) scenarios combines techniques forecast curves specify expected improvements inventory produced distinctly ones provided similar today. system Technology specification damage factors Supply corridors technical