Evaluating DSM: can an engineer count on it? A short note paper summarizing a panel session at the July 1992 summer power meeting

Flory, John E.; Peters, Judith C.; Vogt, Liffert; Keating, Kenneth M.; Hopkins, B.; Friedman, N.R.

doi:10.1109/59.331427

Cited by 9 publications

(3 citation statements)

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“…Bjork [2] stated that it is likely that applications with low cost per controlled load may be found in industry, where the controllable load per control point is relatively large. Flory et al [3] reported that at many utilities 2-10% of the industrial customers account for at least 80% of the electricity usage, which emphasises the economic feasibility of DSM programs in the industrial sector. Although time of use (TOU) pricing represented a significant step towards efficient electricity pricing, there is a growing recognition that dynamic tariff forms can be more efficient.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study Between: Time of Using and Real- Time Pricing Using Fuzzy Technique

Mansour

Ahmed²

2017

Journal of Al-Azhar University Engineering Sector

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Demand-side management (DSM) programs in the industrial sector appear to be economically feasible due to the large controllable loads and relatively low costs per control point. Innovative electricity tariffs provide one of the most important DSM alternatives. Because real-time pricing (RTP) is considered as management option which reflects the real cost of generating electricity to the end user, the electricity cost saving potential of RTP through demand management is presented in this paper. These variables include the installed power consumption capacity of the plant, the plant's spare energy consumption capacity, and terms that describe the structure of the RTP tariff. Time of using (TOU) pricing compared with (RTP) is presented, can either be applied as load management (LM) program or as incentive to drive the economics and the motivation to implement other types of LM programs. TOU pricing also can be taken as a way for consumers to adjust the electricity consumption among different time axis in accordance with the cost of electricity. In the present paper, we proposed the fully arithmetic fuzzy operations method which is applied where all the parameters and variables are characterized by triangular fuzzy numbers. A comparison of Fuzzy arithmetic operations and ordinary operations is given [1] .

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Section: Introductionmentioning

confidence: 99%

Comparative Study Between: Time of Using and Real- Time Pricing Using Fuzzy Technique

Mansour

Ahmed²

2017

Journal of Al-Azhar University Engineering Sector

View full text Add to dashboard Cite

show abstract

“…Bjork [1] stated that it is likely that applications with low cost per controlled load may be found in industry, where the controllable load per control point is relatively large. Flory et al [2] reported that at many utilities 2-10% of the industrial customers account for at least 80% of the electricity usage, which emphasises the economic feasibility of DSM programs in the industrial sector.…”

Section: Introductionmentioning

confidence: 99%

Load Management Programs Comparison: Time of Using and Real- Time Pricing

Ahmed¹

2016

Journal of Al-Azhar University Engineering Sector

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Demand-side management (DSM) programs in the industrial sector appear to be economically feasible due to the large controllable loads and relatively low costs per control point. Innovative electricity tariffs provide one of the most important DSM alternatives. Because real-time pricing (RTP) is considered as management option which reflects the real cost of generating electricity to the end user, the electricity cost saving potential of RTP through demand management is presented in this paper. These variables include the installed power consumption capacity of the plant, the plant's spare energy consumption capacity, and terms that describe the structure of the RTP tariff. Time of using (TOU) pricing compared with (RTP) is presented, can either be applied as an LM program or as incentive to drive the economics and the motivation to implement other types of LM programs. TOU pricing also can be taken as a way for consumers to adjust the electricity consumption among different time axis in accordance with the cost of electricity.

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“…Therefore, Demand Side Management (DSM) is the effective, efficient and economic use of energy by an organization. DSM has become widely accepted practice in industrial and commercial sectors in the world [1]. The following six-methods are the main principal means by which modem DSM programs can influence customer's demand for electricity as shown in table 1:…”

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confidence: 99%

Energy Management System for Multi-Level Electrical Distribution Systems

Zaki

2017

Journal of Al-Azhar University Engineering Sector

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Load Management (LM) is an optimization problem which constrained by time of electricity use, peak demand, minimum load and electricity tariffs. The general objective of this research is to study the subject of LM techniques, especially rescheduling the load or part of it to other periods of the day and time of use (TOU) pricing on real industrial plant to evaluate the benefits of applying such management techniques. This thesis will focus on the development of two mathematical models for different types of end users. These models will enable the utility planner to design a DSM in which demand, time and electricity prices will be used as the control variable of an objective function representing the target of the DSM program. The amount of energy, cost and time of use will reflect the state variables of the system. The first model is a DSM priority selection technique and the second model is an optimal tariff formulation. The applications of peak clipping, valley filling, load shifting, energy conservation and load building programs will be studied and evaluated.

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Evaluating DSM: can an engineer count on it? A short note paper summarizing a panel session at the July 1992 summer power meeting

Cited by 9 publications

References 0 publications

Comparative Study Between: Time of Using and Real- Time Pricing Using Fuzzy Technique

Comparative Study Between: Time of Using and Real- Time Pricing Using Fuzzy Technique

Load Management Programs Comparison: Time of Using and Real- Time Pricing

Energy Management System for Multi-Level Electrical Distribution Systems

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