APPLICATION OF PROMETHEE METHOD FOR DEMAND SIDE MANAGEMENT (DSM) OPTIONS RANKING

2016 ◽  
Vol 78 (5-7) ◽  
Author(s):  
Muhamad Rasydan Mokhtar ◽  
Md Pauzi Abdullah ◽  
Mohammad Yusri Hassan ◽  
Faridah Hussin
Keyword(s):  
Visual Analysis ◽  
Demand Side Management ◽  
Preference Ranking ◽  
Demand Side ◽  
Energy Payback ◽  
Investment Cost ◽  
Promethee Method ◽  
Hierarchy Process ◽  
Method Preference

Demand Side Management (DSM) is a method used to modify the electrical load profile of a consumer to reduce its electricity bill. There are various types of DSM options available but mostly involve costs to be incurred by consumers. Moreover, the effectiveness of a DSM option depends on various factors including investment cost, saved energy, payback period and more. Multi Criteria Decision Analysis (MCDA) is a tool that can be applied to make decision when a lot of factors to be taken into account. In DSM, Analytical Hierarchy Process (AHP) is one MCDA technique that is widely used in ranking the DSM options. However, AHP requires additive aggregation that may cause lost in detailed information. This paper presents another MDCA method; Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to perform the ranking of DSM options. PROMETHEE (I and II) were used in a case study and the results shows that PROMETHEE give the same result as AHP. PROMETHEE has an advantage over AHP as it does not require additive aggregation even the problem is multi-dimensional and could provide visual analysis.  

scholarly journals An integrated AHP and PROMETHEE approach to the evaluation of the attractiveness of European maritime areas for sailing tourism

2018 ◽  
Vol 26 (2) ◽  
pp. 135-148 ◽  
Author(s):  
Leszek Butowski
Keyword(s):  
Analytical Hierarchy Process ◽  
Coastal Areas ◽  
Scientific Investigation ◽  
Preference Ranking ◽  
Bottom Level ◽  
Tourist Destinations ◽  
Promethee Method ◽  
Almost All ◽  
Hierarchy Process

Abstract As a subject of scientific investigation, evaluations of the attractiveness of tourist destinations have had a relatively long history, particularly among geographers and regional economists. Based on mathematical and psychological principles and using methods that combine the Analytical Hierarchy Process (AHP) and the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) approach, this research project constructs an evaluation structure used for the assessment of European coastal and offshore areas for sailing tourism. A case study with a three-level evaluation structure has been defined and tested. It contains: at the top of the hierarchy an overall objective defined as the attractiveness of the European coastal and offshore areas for sailing tourism; six criteria of evaluation (on the second level); and ten coastal areas (at the bottom level). This structure covers almost all the coasts around Europe, as they were the subjects of evaluation and comparison. The evaluation was carried out by a group of experts who made the assessment taking into account previously determined criteria with weights. The findings indicate that the AHP-PROMETHEE method may be a useful tool to evaluate the attractiveness of different destinations. It can be also used for practical purposes, particularly to determine strengths and weaknesses, as well as the competitive position, of given coastal areas in relation to others.

scholarly journals Penentuan Tingkat Kompetensi Soft Skill Mahasiswa Menggunakan Metode Analytical Hierarchy Process dan Promethee

2020 ◽  
pp. 76-82
Author(s):  
Hardiansyah Putra ◽  
Sumijan
Keyword(s):  
Analytical Hierarchy Process ◽  
Skill Training ◽  
Preference Ranking ◽  
Weight Functions ◽  
Program Execution ◽  
Ahp Method ◽  
Soft Skill ◽  
Promethee Method ◽  
Alternative Ranking ◽  
Hierarchy Process

Bureau of Student Advisory Center (BSAC) Universitas Pembangunan Panca Budi is a center for career development and character building for students. In this case, a soft skill seminar is conducted to find the best candidate employees in the field of recruitment offered based on the criteria of student soft skill training. Determining the level of soft skill competences of students using the Analytical Hierarchy Process (AHP) method and the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE). For decision support systems using the AHP and PROMETHEE methods in determining the level of soft skill competencies, in order to obtain prospective employees who have the required soft skill competency level. Data collection was carried out by conducting research. The data is taken from the seminar results with 100 participants. The data that has been collected, processed and analyzed before being used as input and output as a basis for learning or training using the AHP and Promethee methods. Based on the calculations of the two methods, namely the AHP and Promethee methods, there are differences in calculations. In other words, because Promethee does not support the determination of weights and the hierarchy of criteria and does not have the assurance of consistency when determining weights like AHP. So that the program execution has a different time in the results, in the AHP method, program execution until the final result is obtained is better than the Promethee method. AHP has advantages in determining weights and criteria hierarchy, while Promethee has advantages in the alternative ranking process using different preference and weight functions.

scholarly journals Optimal Design and Model Predictive Control of Standalone HRES: A Real Case Study for Residential Demand Side Management

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 29767-29814 ◽  
Author(s):  
Shafiqur Rehman ◽  
Habib Ur Rahman Habib ◽  
Shaorong Wang ◽  
Mahmut Sami Buker ◽  
Luai M. Alhems ◽  
...  
Keyword(s):  
Optimal Design ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Demand Side Management ◽  
Real Case ◽  
Demand Side ◽  
Residential Demand

Study on Demand Side Management of Railway Electricity System

2014 ◽  
Vol 631-632 ◽  
pp. 1347-1350
Author(s):  
Bing Feng Liu
Keyword(s):  
Power System ◽  
Index System ◽  
Demand Side Management ◽  
Fuzzy Evaluation ◽  
Demand Side ◽  
Analytic Hierarchy ◽  
Electricity System ◽  
The Index System ◽  
Hierarchy Process

An index system for evaluating the demand side management (DSM) on railway temporary power system is established in this thesis, and the part weight and the whole weight of the index system are calculated by the analytic hierarchy process (AHP). The basic theory of fuzzy evaluation is introduced, and the feasibility of applying it to DSM on railway temporary power system is analyzed. Through the establishment of index system, evaluation and comparison to DSM projects can be carried out horizontal and vertical. Then identify gaps and weaknesses, analyze the causes, guide the consciousness of energy conservation and environmental protection, supervised of electricity in an orderly manner, establish DSM long-term management mechanism.

scholarly journals Will Aggregator Reduce Renewable Power Surpluses? A System Dynamics Approach for the Latvia Case Study

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7900
Author(s):  
Ieva Pakere ◽  
Armands Gravelsins ◽  
Girts Bohvalovs ◽  
Liga Rozentale ◽  
Dagnija Blumberga
Keyword(s):  
System Dynamics ◽  
Renewable Energy Sources ◽  
National Level ◽  
Electricity Consumption ◽  
Demand Side Management ◽  
Demand Side ◽  
Peak Shaving ◽  
Renewable Power ◽  
Surplus Power

Power demand-side management has been identified as one of the possible elements towards a more flexible power system in case of increased capacities of variable renewable energy sources—solar and wind energy. The market coordinators or aggregators are introduced to adjust the electricity consumption by following the market situation. However, the role of aggregators is mainly analysed from the economic perspective, and the demand side management is performed to maximise the utilisation of low price power during off-peak hours. However, this research focuses on analysing the introduction of aggregators as a future player to increase the total share of renewable power and decrease the surplus solar and wind electricity occurrence. An in-depth system dynamics model has been developed to analyse the hourly power production and power consumption rates at the national level for the Latvia case study. The results show that introducing aggregators and load shifting based on standard peak shaving can increase the share of surplus power and does not benefit from increased utilisation of solar and wind power. On the contrary, demand-side management based on available RES power can decrease the surplus power by 5%.

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