Published February 2019 | Version v1
Journal article

Multi-skill project scheduling problem under time-of-use electricity tariffs and shift differential payments

  • 1. Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran (Iran, Islamic Republic of)

Description

Highlights: • A bi-objective optimization model for project scheduling is developed. • Time-of-Use electricity tariffs and shift differential payments are considered. • Energy consumption in peak hours and total project costs are significantly reduced. • Fluctuation in electricity demand for peak and off-peak hours is reduced. -- Abstract: In real-world environments, project activities may be performed using multi-skill resources. When both manpower and equipment are needed to perform project activities, wage and energy costs may form the main components of total project cost. Most energy-consuming activities do not need to be performed at specific times, and regarding time-of-use electricity tariffs may be performed during off-peak hours to reduce both energy cost and power peak demand. Performing such activities in off-peak hours obliges employers to pay shift differentials which increases the wage cost. Since energy and wage costs move in opposite directions, a model that optimally schedules activities, such that the total cost (sum of energy and wage costs) is minimized is of particular importance from the demand side viewpoint. The present paper presents a bi-objective optimization model for the multi-skill project scheduling problem considering shift differential payments and time-of-use electricity tariffs, aiming to minimize project total cost and completion time. The proposed model is solved using multi-objective decision making techniques. Results show that taking into account both time-of-use electricity tariffs and regular/overtime payments not only reduces energy cost and total project cost, but also reduces the power peak demand, thereby benefiting power distribution networks as well.

Additional details

Identifiers

DOI
10.1016/j.energy.2018.11.070;
PII
S0360544218322825;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
168
Journal Page Range
p. 619-636
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55018049
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
COST; DECISION MAKING; ELECTRICITY; ENERGY CONSUMPTION; ENERGY DEMAND; OPTIMIZATION; POWER DISTRIBUTION SYSTEMS; TARIFFS
Descriptors DEC
DEMAND

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.