A Formal Strategy to Expedite The Evaluation and Selection of Components of a Comprehensive Energy Management Plan
Keywords:
Decision making, multiple objective analysis, energy meth- ods, evaluation, management methods.Abstract
This article introduces a decision-making method to expedite the
evaluation and selection of alternative energy and energy-cost savings
opportunities in a comprehensive energy management plan. The method
promises to reduce uncertainty in the selection of a single or field of
alternatives because of its application of equal weight criteria, limited
threshold ranking, and absolute disqualification rules. When applied in
a strategic energy management plan, the method reduces uncertainty by
the process of filtering and selecting the best opportunities for energy use
improvement and evaluating them against multiple criteria of an organi-
zation’s energy management objectives. The value of the method is in its
simplicity and expediency to identify, assess, and then integrate into the
energy management plan the most appropriate opportunities
Downloads
References
(1) Walk, S. (2011). Making Strategic Technology Decisions in Complex Decision
Environments, Management Decision, publication date July 2011.
(2) Roy, B. (1968) “Classement et choix en presence de points de vue multiple (la
method electre),” RAIRO, 2, 57-75.
(3) Greening, L.A., Bernow, S. 2004. Design of Coordinated Energy and
Environmental Policies: Use of Multi-criteria Decision-making. Energy Policy,
Elsevier, 32(2004) 721-735.
(4) Pohekar, S.D., Ramachandran, M. 2003. Application of Multi-criteria Decision
Making to Sustainable Energy Planning—A Review. Renewable and Sustainable
Energy reviews, Elsevier. 8 (2004) 365-381.
(5) Hobbs, B.F., Meier, P., 2000. Energy Decisions and the Environment: A Guide
Strategic Planning for Energy and the Environment
to the Use of Multicriteria Methods. Kluwer Academic, Dordrecht, The
Netherlands.
(6) Paruccini, M. 1994. Applying Multiple Criteria Aid for Decision to
Environmental Management. Kluwer Academic, Dordrecht, The Netherlands.
(7) Huang, J.P., Pho, K.L., Ang, B.W., 1995. Decision Analysis in Energy and
Environmental Modeling. Energy—the International Journal 20 (9), 843-855.
(8) Georgopoulus E., Lalas D., Pappagiannakis, L. A Multicriteria Aid Approach for
Energy Planning Problems: The Case for Renewable Energy Option. European
Journal of Operational Research. 1997 (3), 38-54.
(9) Modis, T. (1992): Predictions, Simon and Schuster, New York.
(10) Walk, S. (2001) “Maritime University Curriculum and Technology
Planning for the 21st Century—Part II: Strategic Education Technology
Planning,” Journal of the International Association of Maritime Universities,
Volume 2, No. 1, pp. 56-64.
(11) City of Irvine (CA) Energy Plan (2008). http://www.cityofirvine.us/
assets/downloads/CityofIrvineEnergyPlan20080624.pdf. City of Irvine, CA.
(12) Case Studies on Municipal Energy Initiatives (2010). http://www.
cec.org/municipalenergy/docs/QA0945-Municipal-Case-Studies_en.pdf.
Commission for Environmental Cooperation. Montreal.
(13) City of Madison (WI) Green Capital Report (2004). http://www.
cityofmadison.com/mayor/documents/GreenCapitalReport_1.pdf. City of
Madison, WI.
(14) Guidelines for Energy Management (2011). http://www.energystar.
gov/index.cfm?c=guidelines.guidelines_index. US Department of Energy.