Siddhant Vibhute
Indian Institute of Technology Bombay, Mumbai, India
Deepti Shakya
Indian Institute of Technology Bombay, Mumbai, India
Anupama Kowli
Indian Institute of Technology Bombay, Mumbai, India
Corresponding Author: anu.kowli@iitb.ac.in
Cite this article
Highlights
- Smart meter data from residences in Pune City is analyzed for estimating urban residential load in India.
- Appliance ownership data is exploited to infer electricity usage and peaks in the load curve for each household.
- Potential of demand response (DR) programs is studied using this data set to shave peaks by load shifting.
- Load composition of residences contributing to system peak is studied to estimate their DR potential.
Abstract
The paper investigates how residential loads in India contribute to grid peak load and how to manage such peaks. Algorithms that process smart meter data from residential loads and compute attributes that capture their contribution to the system peak are devised and demonstrated in the paper. Specifically, a distribution system is considered based on a study on households in Pune, India. To enhance the household dataset for analysis, a synthetic data generation technique is employed. The algorithms developed here are applied to this system to showcase their capabilities. Results show how simple attributes such as peak amplitude and peak duration can extract sufficient information to ensure households that contribute to system peak are appropriately identified. Moreover, these attributes offer insights into appliance ownership, supporting the development of effective DR programs. A demonstration of how shifting of individual peaks can significantly impact system peak is also provided. The results lay the foundation for designing meaningful DR programs leveraging the smart meter data.
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Bishal Thapa
Fred Sherman
Sumedha Malaviya
Satish Kumar
The three main global energy concerns of providing access to modern energy, enhancing the security of the energy supply, and minimising the impact of energy systems on the climate have an impact on both national and international energy governance. To develop solutions that address the many facets of these difficulties, however, a variety of actors and stakeholders must be included due to the complexity of the energy challenges.
Cities are responsible for more than 70% of the world’s energy consumption and 40% to 50% of its greenhouse gas emissions. Managing increasing urbanisation is a challenge, and nations must deal with the effects it will have on the environment in terms of energy and climate.
Our transition to a future with lower carbon emissions depends heavily on buildings. They are our places of residence, rest, and employment; they also account for around one-third of the world’s greenhouse gas emissions and nearly 40% of the world’s energy usage.