DRE Modelling Tool
A tool to help analyse which out of DRE (Decentralised Renewable Energy) and Grid is the more cost-efficient and reliable means of supply of electricity for specific case scenarios!The simulation model can generate ‘what-if’ scenarios of different systems of energy supply (grid and 100% DRE), along with the cost and reliability implications. The model can compare different systems of energy supply in terms of their relative costs and reliability under the conditions described above.
Developed by
Kabir Sharma, Mihir Mathur, DESTA Research LLP
Supported by
SELCO Foundation
Background >
Benefits >
Why use DRE Modelling tool
Weigh options
Help users identify the cheaper option between DRE & Grid for a specific contextMap costs over time
Understand how the costs pan out over time for short/long-term durations, for different case scenariosDetermine cross-over point
Estimate the no. of years it would take for the switch from Grid to DRE to happenAssess the influence of different factors
Evaluate the sensitivity of different parameters on the costs for both optionsHow it works
Below the overall model logic for the DRE Simulation model is presented, in a step-by-step manner. In this way, the model is able to compare the baseline case of a grid -based power supply and a DRE-based energy supply.Key Outputs
The model interface allows users to access the model, change inputs and generate scenarios. Key outputs generated are as follows,Solar Capacity
The capacity represents the rated output of a generator for a prescribed set of conditions which is typically the maximum power available continuously.
Accumulated Cost
Allows users to estimate costs that can accrue over specific periods of time.
Annual Cost
Allows users to compare the cost-effectiveness of options that have unequal lifespans.
The capacity represents the rated output of a generator for a prescribed set of conditions which is typically the maximum power available continuously.
Accumulated Cost
Allows users to estimate costs that can accrue over specific periods of time.
Annual Cost
Allows users to compare the cost-effectiveness of options that have unequal lifespans.
Healthcare
Implementing DRE system when the model user is a Medical Officer in rural KarnatakaProblem Statement
The doctor practising as a Medical Officer (MO) at a healthcare facility in rural Karnataka faces frequent power disruptions due to load shedding. Such power outages present significant challenges in providing essential healthcare services. Due to this, the facility heavily depends on diesel or petrol-powered generators for electricity during emergencies and nighttime operations. In such a scenario, the MO often ends up referring patients to other facilities for a reliable treatment. Moreover, the MO also struggles in completing his administrative duties due to unreliable energy supply, which often adds his workload to coordinate with the electricity department.
Solution
The MO can consider installing a DRE system at the healthcare facility.
Read the case study
Livelihood
Implementing the DRE system when the model user is a micro entrepreneur running a general store in Rannebennur block of Haveri district in KarnatakaProblem Statement
Unorganized retail business in peri-urban areas in India, including small family-owned general stores and petty shops, accounts for about 93% of India’s retail market. Often, traditional entrepreneurs running these small shops seek to diversify and expand their services. For example, they may add printing, xerox, and lamination services in areas with a high number of students, or refrigeration to store cool beverages in hot areas. However, these services in the shop face significant challenges because of the lack of reliable electricity, which can lead to frequent outages, overloading, short-circuits, and thermal hazards, especially in poorly constructed shop structures.
Solution
Entrepreneurs can consider installing a DRE system at the shop.