How to write a hotspot analysis report for energy storage power stations

What is Hotspot Analysis?

Hotspot analysis or hotspotting, the prioritisation method used by different analytical disciplines, is often a precursor to develop more detailed or granular sustainability information (Barthel et al., 2014), to identify the most significant impacts or benefits for further investigation or action.

Does hotspot analysis need expert input?

As a tool that is used to facilitate decision-making as a precursor to (or in lieu of) a more detailed analysis, hotspots analysis still seems to require at least some expert input. In terms of gaps, few methods appear to incorporate financial data, in particular on the costs and benefits of addressing hotspots.

Which hotspot analysis methodologies use a quantitative approach?

Examples of hotspots analysis methodologies that use a quantitative approach include the GHG Protocol’s Value Chain (Scope 3) Accounting and Reporting Standard 2; and the GHG Protocol’s Product Life Cycle Accounting and Reporting Standard. 3

What are the benefits of hotspots analysis?

The benefits of hotspots analysis include the following factors (Barthel et al. 2014): Hotspots analysis employs a materiality-focused prioritization approach to identify sustainability impacts across a range of attributes such as economic, environment, social and governance.

How does Aham evaluate hotspots?

As an additional level of rigor, prior to translating these hotspots into criteria within its sustainability standards, AHAM often conducts a screening-level life cycle assessment using primary (where available) and proxy data from manufacturers and industrial databases to verify and validate the result of the hotspots analysis.

What data should be included in a renewable resource model?

Wind: rated output, rotor diameter, hub height, shear coefficient, losses, and power curve (with cut-in and cut-out speeds). With recent advancements in renewable resource modeling, it is becoming much easier to find high-resolution data across the globe; however, this might not always be practical.