Energy Decisions and the Environment: A Guide to the Use of by Benjamin F. Hobbs, Peter Meier

By Benjamin F. Hobbs, Peter Meier

Planning, working, and coverage making within the electrical application and ordinary gasoline sectors contains vital trade-offs between monetary, social, and environmental standards. those trade-offs determine prominently in ongoing debates approximately the way to meet becoming strength calls for and the way to restructure the world's energy undefined. EnergyDecisions and the surroundings: A consultant to using MulticriteriaMethods stories sensible instruments for multicriteria (also known as multiobjective) determination research that may be used to quantify trade-offs and give a contribution to extra constant, knowledgeable, and obvious determination making. those tools are designed to generate and successfully speak information regarding trade-offs; to assist humans shape, articulate, and follow worth judgments in selection making; and to advertise potent negotiation between stakeholders with competing pursuits. Energy judgements and the surroundings: A consultant to the Use ofMulticriteria Methods contains motives of quite a lot of equipment, educational functions that readers can replica, a close assessment of energy-environment purposes, and 3 in-depth case studies.

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Such records are also useful for equipment reliability analyses. On the other hand, historical data cannot be directly used to quantify institutional, political, and economic uncertainties. Expert judgment might be relied upon to quantify such uncertainties by specifying subjective probability distributions (von Winterfeldt and Edwards, 1986), or plausible ranges of outcomes. How options with different risks are evaluated depends not only on the probabilities and consequences involved, but also on many other factors (Starr and Whipple, 1980).

Traditionally, their principal focus has been to determine the economic and financial consequences of alternative resource plans. Some are optimization models, that seek the leastcost capacity expansion path subject to exogenously specified demand forecasts and reliability levels (such as EGEAS). Others are simulation models, in which cost, reliability, and rate impacts are calculated for a series of specific options specified by the user (such as MIDAS and ENVIROPLAN). 3: Examples of resource planning models used in electric utility MCDM applications Application Model Reference for model Sri Lanka ENVIROPLAN Meier (1999) Meier and Munasinghe (1994) Centerior Energy MIDAS Farber et al.

Initially, almost as a matter of routine, estimates of tons of solid waste were generated by the MIDAS model. But after discussion with the participants, the shortcomings of such a quantification became clear. What was deemed to be a much better proxy for the actual environmental impacts, as well as the utility's own transaction costs (the "hassle factor"), was the number of new solid waste disposal sites that had to be opened. ) GHG emissions, as discussed subsequently, are an important exception, as are some other pollutants -- such as plutonium -- that are so highly toxic that it is reasonable to assert that any emission at any location must be controlled.

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