A multi-attribute evaluation framework for electric resource acquisition in California

Staschus, Konstantin; Davidson, J. H.; Gross, George; Logan, Douglas M.; Perone, Stella; Shirmohammadi, D.; Vojdani, Alireza

doi:10.1016/0142-0615(91)90029-u

Cited by 20 publications

(7 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…MABS evaluates the following seven components: 'Staschus, et al (1991). This subcontract report examines the capabilities of utility planning models to address key issues in choosing between renewable resources and other options.…”

Section: Recommendations For Methodology Developmentmentioning

confidence: 99%

Modeling renewable energy resources in integrated resource planning

Logan¹,

Neil²,

Taylor³

1994

View full text Add to dashboard Cite

Renewable-wind, solar, geothermal, hydro, biomass, municipal solid waste (MSW), and end-use renewable 3. Demand-side management (DSM)-efficiency improvements and direct load control. These categories are defined in this way simply to facilitate the discussion in this report. The lists of resources in each category are intended to be illustrative rather than exhaustive. Ten general attributes and the characteristics or subattributes that define them are presented in Table 2-1. The table also summarizes the relevance of these attributes for the three resource categories and for specific options within the categories. The remainder of this subsection briefly discusses the 10 general attributes. 1 Capability refers to limits on the ability of an option to supply power or to reduce demand in a given period under normal conditions. These limits include: The capacity rating Any limit on the total amount of energy that can be generated in the period owing, for example, to fuel supply constraints for a fossil station or to water constraints for a hydro station Contractual limits on the number of operations of a direct load control program. The capability of an option may vary between time periods because of parameters such as seasonal variations in ambient temperatures that affect the capacity of a thermal unit. The attributes of renewable resources are also described in Hamrin and Rader (1993) and in Wan and Parsons (1993).

show abstract

Section: Recommendations For Methodology Developmentmentioning

confidence: 99%

Modeling renewable energy resources in integrated resource planning

Logan¹,

Neil²,

Taylor³

1994

View full text Add to dashboard Cite

show abstract

“…In the energy planning field, PROMETHEE methods have been employed to tackle a variety of decision problems such as location selection of hydro power plants [142], evaluation of energy generation systems [124], [143], [144], and selection of electric resource acquisition [145].…”

Section: Prometheementioning

confidence: 99%

“…Please refer to the table below for a summary of decision-analysis methods covered in the literature review. [98], [158], [159] Decision Trees [99]- [103], [105]- [107], [160] Influence Diagrams [104], [108] Multi-attribute Utility Theory [110]- [119] Analytic Hierarchy Process (AHP) [13], [16], [120]- [123], [125]- [135], [137] Analytic Network Process (ANP) [138]- [141] PROMETHEE [124], [142]- [145], [161] ELECTRE [10], [146]- [152], [154]- [157]…”

Section: Electrementioning

confidence: 99%

An Assessment Model for Energy Efficiency Program Planning in Electric Utilities: Case of the Pacific of Northwest U.S.A.

Iskin¹

2000

View full text Add to dashboard Cite

Energy efficiency stands out with its potential to address a number of challenges that today's electric utilities face, including increasing and changing electricity demand, shrinking operating capacity, and decreasing system reliability and flexibility. Being the least cost and least risky alternative, the share of energy efficiency programs in utilities' energy portfolios has been on the rise since the 1980s, and their increasing importance is expected to continue in the future.Despite holding great promise, the ability to determine and invest in only the most promising program alternatives plays a key role in the successful use of energy efficiency as a utility-wide resource. This issue becomes even more significant considering the availability of a vast number of potential energy efficiency programs, the rapidly changing business environment, and the existence of multiple stakeholders.This dissertation introduces hierarchical decision modeling as the framework for energy efficiency program planning in electric utilities. The model focuses on the assessment of emerging energy efficiency programs and proposes to bridge the gap between technology screening and cost/benefit evaluation practices. This approach is expected to identify emerging technology alternatives which have the highest potential to pass cost/benefit ratio testing procedures and contribute to the effectiveness of decision practices in energy efficiency program planning. The model also incorporates rank order analysis and sensitivity analysis for testing the robustness of results from different stakeholder perspectives and ii future uncertainties in an attempt to enable more informed decision-making practices. The model was applied to the case of 13 high priority emerging energy efficiency program alternatives identified in the Pacific Northwest, U.S.A. The results of this study reveal that energy savings potential is the most important program management consideration in selecting emerging energy efficiency programs. Market dissemination potential and program development and implementation potential are the second and third most important, whereas ancillary benefits potential is the least important program management consideration. The results imply that program value considerations, comprised of energy savings potential and ancillary benefits potential; and program feasibility considerations, comprised of program development and implementation potential and market dissemination potential, have almost equal impacts on assessment of emerging energy efficiency programs. Considering the overwhelming number of value-focused studies and the few feasibility-focused studies in the literature, this finding clearly shows that feasibility-focused studies are greatly understudied. The hierarchical decision model developed in this dissertation is generalizable. Thus, other utilities or power systems can adopt the research steps employed in this study as guidelines and conduct similar assessment studies on emerging energy efficiency programs of their interes...

show abstract

“…Aspects of the good to be procured such as design, delivery time, technical characteristics, or the guarantee's term may affect the value of the procurement outcome. Procurement including non-monetary dimensions (quality for brevity) in addition to price has been called multidimensional (McAfee and McMillan, 1987), multi-attribute (Staschus et al, 1991), or best value (Peckinpaugh and Goldstein, 1992). As argued by Dini, Pacini, and Valletti (2006), in multidimensional procurement it is unlikely that the same bidder offers both the cheapest price and the highest quality, as high-quality products are typically more costly to produce (although see Albano, Dini and Zampino, 2009).…”

Section: Introductionmentioning

confidence: 99%

Weight Values, Scoring Rules and Abnormally Low Tenders Criteria in Multidimensional Procurement: Effects on Price

González¹,

Zaragoza²

2019

HPE-RPE

View full text Add to dashboard Cite

Many weighing functions are currently in use for evaluating quotes in multidimensional procurement. Although these may affect the price paid by the buyer, their design has been little informed by empirical considerations. This paper studies the impacts of weight values, scoring rules, and abnormally low tenders criteria (ALTC) in an original sample of procurements of services. The panel dimension of the data and the rich set of procurement characteristics are exploited to show that convex price scoring rules (PSRs) and increases in the weight for price yield lower prices, whereas independent/interdependent PSRs and different ALTC result in the same price.

show abstract

A multi-attribute evaluation framework for electric resource acquisition in California

Cited by 20 publications

References 4 publications

Modeling renewable energy resources in integrated resource planning

Modeling renewable energy resources in integrated resource planning

An Assessment Model for Energy Efficiency Program Planning in Electric Utilities: Case of the Pacific of Northwest U.S.A.

Weight Values, Scoring Rules and Abnormally Low Tenders Criteria in Multidimensional Procurement: Effects on Price

Contact Info

Product

Resources

About