Economical and ecological impact of sector coupling applied to computing clusters

TL;DR

This paper explores how sector coupling can optimize renewable energy use in computing clusters, reducing costs and environmental impact through dynamic operation based on electricity availability.

Contribution

It demonstrates the potential for cost and emission savings in computing clusters by applying sector coupling principles using real-world electricity data.

Findings

Optimal utilization reduces carbon emissions and costs.

Dynamic operation can maintain savings under various conditions.

Abstract

The rising share of abundant renewable energy inevitably increases volatility in the electricity production. The concept of sector coupling means that the volatility of electricity production to a large degree can be absorbed by dispatching electricity consumption whenever excess renewable energy is available. A system that is dynamically operated based on this principle can lower its total environmental impact. In addition, operational costs might be reducible as electricity prizes strongly depend on the residual load of the energy system. High-performance computing clusters in the field of science represent an ideal testing ground for such dynamic operation. Short-term delays in computing results due to electricity production being associated with high costs or carbon emissions are often negligible, provided that an overall computing target remains constant over long time periods. This study simulates the simplified operation of computing clusters using publicly available data on electricity production in Germany. The optimal utilisation along with associated carbon emission and cost reductions are determined separately. Hardware acquisition costs and embedded emissions are taken into account. The stability of a fixed computing target given the determined utilisation optima is evaluated in two validation periods. Additional simulations with modified parameters are carried out to estimate potential conditions under which dynamic operation of a computing cluster would continue to enable savings in the future.