The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Introduction to Energy Systems Modelling
Open accessAbstract
Summary: 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. While the macroeconomic models are used to deliver the economic, demographic and policy framework conditions as well as the macroeconomic impacts of particular scenarios, the bottom-up models simulate the technical developments in the final energy sectors and try to optimise electricity generation under the given boundary conditions of a particular scenario. This introductory article gives an overview of some of the energy models used in Switzerland and — more importantly — some insights into current advanced energy system modelling practice pointing to the characteristics of the two modelling types and their advantages and limitations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)92216-0 · Cited by 45,910
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
Global Consequences of Land Use
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., et al. (2005) · Science · doi:10.1126/science.1111772 · Cited by 13,272
Thring, M. W. (1977) · Electronics and Power · doi:10.1049/ep.1977.0180 · Cited by 7,338
Intelligent agents: theory and practice
Wooldridge, M., & Jennings, N. R. (1995) · The Knowledge Engineering Review · doi:10.1017/s0269888900008122 · Cited by 6,810
An Introduction to MultiAgent Systems
Wooldridge, M. (2002) · Cited by 5,394
Industrial Dynamics: A Major Breakthrough for Decision Makers
Forrester, J. W. (2012) · The Roots of Logistics · doi:10.1007/978-3-642-27922-5_13 · Cited by 2,058
Forrester, J. W., & WARFIELD, J. N. (1973) · Cited by 1,466
An Introduction to Multi-Agent Systems
Balaji, P. G., & Srinivasan, D. (2010) · Studies in Computational Intelligence · doi:10.1007/978-3-642-14435-6_1 · Cited by 1,376
Sensfuß, F., Ragwitz, M., & Genoese, M. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.03.035 · Cited by 962
Manne, A., Mendelsohn, R., & Richels, R. (1995) · Energy Policy · doi:10.1016/0301-4215(95)90763-w · Cited by 736
Electricity market modeling trends
Ventosa, M., Baı́llo, Á., Ramos, A., & Rivier, M. (2005) · Energy Policy · doi:10.1016/j.enpol.2003.10.013 · Cited by 708
Technological change in economic models of environmental policy: a survey
Löschel, A. (2002) · Ecological Economics · doi:10.1016/s0921-8009(02)00209-4 · Cited by 527
International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria
Luckner, L., & Peuker, D. (1985) · Cited by 509
Combining bottom-up and top-down
Böhringer, C., & Rutherford, T. F. (2008) · Energy Economics · doi:10.1016/j.eneco.2007.03.004 · Cited by 366
A critical survey of agent-based wholesale electricity market models
Weidlich, A., & Veit, D. (2008) · Energy Economics · doi:10.1016/j.eneco.2008.01.003 · Cited by 363
The synthesis of bottom-up and top-down in energy policy modeling
Christoph Böhringer, A. (1998) · Energy Economics · doi:10.1016/s0140-9883(97)00015-7 · Cited by 251
C02 Emission Limits: An Economic Cost Analysis for the USA
Manne, A. S., & Richels, R. G. (1990) · The Energy Journal · doi:10.5547/issn0195-6574-ej-vol11-no2-3 · Cited by 227
Conceptual Models as Tools for Communication Across Disciplines
Heemskerk, M., Wilson, K., & Pavao-Zuckerman, M. (2003) · Conservation Ecology · doi:10.5751/es-00554-070308 · Cited by 207
Messner, S., & Strubegger, M. (1995) · IIASA PURE (International Institute of Applied Systems Analysis) · Cited by 177
Jägemann, C., Fürsch, M., Hagspiel, S., & Nagl, S. (2013) · Energy Economics · doi:10.1016/j.eneco.2013.08.019 · Cited by 150
Energy/Environmental Modeling with the MARKAL Family of Models
Seebregts, A. J., Goldstein, G. A., & Smekens, K. (2002) · Springer eBooks · doi:10.1007/978-3-642-50282-8_10 · Cited by 148
ADVANCES IN ENERGY FORECASTING MODELS BASED ON ENGINEERING ECONOMICS
Worrell, E., Ramesohl, S., & Boyd, G. A. (2004) · Annual Review of Environment and Resources · doi:10.1146/annurev.energy.29.062403.102042 · Cited by 132
Cost-optimal power system extension under flow-based market coupling
Hagspiel, S., Jägemann, C., Lindenberger, D., Brown, T., Cherevatskiy, S., & Tröster, E. (2014) · Energy · doi:10.1016/j.energy.2014.01.025 · Cited by 102
Bernard, A., & Marc Vielle, B. (2007) · Computational Management Science · doi:10.1007/s10287-007-0047-y · Cited by 91
Linares, P., Santos, F. J., Ventosa, M., et al. (2008) · Automatica · doi:10.1016/j.automatica.2008.03.006 · Cited by 86
Sensfuß, F. (2007) · Repository KITopen (Karlsruhe Institute of Technology) · doi:10.5445/ir/1000007777 · Cited by 75
Promoting Renewable Energy in Europe: A Hybrid Computable General Equilibrium Approach
Böhringer, C., & Löschel, A. (2006) · The Energy Journal · doi:10.5547/issn0195-6574-ej-volsi2006-nosi2-7 · Cited by 64
A multi-criteria evaluation framework for tradable white certificate schemes
Luis Mundaca, T., & Neij, L. (2009) · Energy Policy · doi:10.1016/j.enpol.2009.06.011 · Cited by 60
MERGE : A model for evaluating regional and global effects of GHG reduction policies
Manne, A., Mendelsohn, R., & Richels, R. (1995) · RePEc: Research Papers in Economics · Cited by 53
The costs of mitigating carbon emissions
Krause, F. (1996) · Energy Policy · doi:10.1016/s0301-4215(96)80356-9 · Cited by 51
Ruß, P., & Criqui, P. (2006) · Energy Policy · doi:10.1016/j.enpol.2006.03.010 · Cited by 42
Cited by
Löffler, K., Hainsch, K., Burandt, T., Oei, P.-Y., Kemfert, C., & Von Hirschhausen, C. (2017) · Energies · doi:10.3390/en10101468 · Cited by 225
Mercure, J.-F., Lam, A., Billington, S., & Pollitt, H. (2018) · Climatic Change · doi:10.1007/s10584-018-2262-7 · Cited by 60
Sarmiento, L., Burandt, T., Löffler, K., & Oei, P.-Y. (2019) · Energies · doi:10.3390/en12173270 · Cited by 43
Jones, E. C. (2025) · Current Sustainable/Renewable Energy Reports · doi:10.1007/s40518-025-00256-x · Cited by 3
Metadata
- Authors
- Herbst, A., Toro, F., Reitze, F., & Jochem, E.
- Venue
- Swiss Journal of Economics and Statistics
- Published
- 2012-01-11
- Volume
- 148
- Issue
- 2
- Pages
- 111-135
- ISSN
- 0303-9692 (ISSN-L)
- 2235-6282
- OpenAlex
- W88944736
- Cited by
- 290
- References
- 32
- FWCI
- 4.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.