Combining bottom-up and top-down
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In this article, the authors formulate market equilibrium as a mixed complementarity problem which explicitly represents weak inequalities and complementarity between decision variables and equilibrium conditions, and demonstrate how to integrate bottom-up activity analysis into a top-down representation of the broader economy.About:
This article is published in Energy Economics.The article was published on 2008-03-01 and is currently open access. It has received 327 citations till now. The article focuses on the topics: Mixed complementarity problem & Complementarity (physics).read more
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Journal ArticleDOI
A review of bottom-up building stock models for energy consumption in the residential sector
Miroslava Kavgic,Anna Mavrogianni,Dejan Mumovic,Alex Summerfield,Z. Stevanovic,M. Djurovic-Petrovic +5 more
TL;DR: In this paper, bottom-up and top-down building stock models have been used to estimate the baseline energy demand of the existing building stock, explore the technical and economic effects of different CO2 emission reduction strategies over time, including the impact of new technologies, and identify the effect of emission reduction strategy on indoor environmental quality.
Journal ArticleDOI
Introduction to Energy Systems Modelling
TL;DR: The energy demand and supply projections of the Swiss government funded by the Swiss Federal Office of Energy and carried out by a consortium of institutes and consulting companies are based on two types of energy models: macroeconomic general equilibrium models and bottom-up models for each sector as mentioned in this paper.
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Learning or lock-in: Optimal technology policies to support mitigation
TL;DR: In this article, the authors investigate conditions that amplify market failures in energy innovations, and suggest optimal policy instruments to address them using an intertemporal general equilibrium model, and show that small market imperfections may trigger a several decades lasting dominance of an incumbent energy technology over a dynamically more efficient competitor, given that the technologies are very good substitutes.
Journal ArticleDOI
Quantifying the Water-Energy-Food Nexus: Current Status and Trends
TL;DR: In this article, the authors summarized the estimate results to date on WEF interconnections, analyzed methodological and practical challenges associated with WEF intraconnection calculations, and pointed out opportunities for enabling robust WEF nexus quantifications in the future.
Journal ArticleDOI
Integrated assessment of energy policies: Decomposing top-down and bottom-up
TL;DR: In this paper, a decomposition of the integrated mixed complementarity problem (MCP) formulation is presented that permits a convenient combination of top-down general equilibrium models and bottom-up energy system models for energy policy analysis.
References
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Book ChapterDOI
Environmental Taxation and the “Double Dividend:” A Reader’s Guide
TL;DR: Taxes have been used as instruments of environmental protection for a long time as mentioned in this paper, and the notion that taxes can improve welfare outcomes by internalizing externalities traces back at least as far as Pigou (1938) and is a central tenet of environmental economics.
Journal ArticleDOI
MERGE. A model for evaluating regional and global effects of GHG reduction policies
TL;DR: MERGE provides a framework for thinking about climate change management proposals and is designed to be sufficiently flexible to be used to explore alternative views on a wide range of contentious issues, eg costs, damages, valuation and discounting.
Journal ArticleDOI
The path solver: a nommonotone stabilization scheme for mixed complementarity problems
TL;DR: The PATH solver as mentioned in this paper is an implementation of a stabilized Newton method for the solution of the Mixed Complementarity Problem, which employs a path generation procedure which is used to construct a piecewise-linear path from the current point to the Newton point; a step length acceptance criterion and a non-monotone path search are then used to choose the next iterate.
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