Assessment of Opportunities in Haryana

The report argues that demand response for residential cooling can mitigate the grid stress caused by increasing air conditioner use during heatwaves in Haryana. By 2030, targeted load reduction of residential cooling could reduce peak load requirements by up to 400 MW, resulting in power purchase savings of up to INR 83 lacs per event. The document identifies barriers to implementation, including a lack of granular data on consumer behavior and the need for dynamic tariffs and smart meter penetration.

• Unmanaged cooling demand in Haryana is projected to add nearly 3.3 GW of peak load to the electricity grid during summer, which would force DISCOMs to enter expensive power purchase contracts with gas-fired 'peaker' plants.
• Analysis for 2030 indicates that targeting residential cooling loads for demand response in Haryana could reduce peak load requirements by up to 400 MW, representing 2% of annual demand, and save up to INR 83 lacs in power purchases per event.
• The primary barriers to implementing demand flexibility in India include a lack of granular data on critical and non-critical loads and a limited understanding of consumer behavior; overcoming these requires smart meter penetration and the introduction of dynamic tariffs like time-of-use pricing.

APA

RMI (2022). Assessment of Opportunities in Haryana. https://rmi.org/resources/assessment-of-opportunities-in-haryana/

Chicago

RMI. Assessment of Opportunities in Haryana. 2022. https://rmi.org/resources/assessment-of-opportunities-in-haryana/.

Wikipedia

{{cite report |author=RMI |title=Assessment of Opportunities in Haryana |date=30 August 2022 |url=https://rmi.org/resources/assessment-of-opportunities-in-haryana/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{rmi2022assessment, author = {{RMI}}, title = {{Assessment of Opportunities in Haryana}}, institution = {RMI}, year = {2022}, month = aug, url = {https://rmi.org/resources/assessment-of-opportunities-in-haryana/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }