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docs/paper.md

@@ -42,7 +42,7 @@ The Control Strainer, or `ConStrain`, is a python-based framework that can be us
 
 Advances in building control have shown significant potential for improving building energy performance and decarbonization. Studies show that designs utilizing optimized controls that are properly tuned could cut commercial building energy consumption by approximately 29% - equivalent to 4-5 Quads, or 4-5% of the energy consumed in the United States [@impa_ctrl]. Driven by the significant control-related energy-saving potential, commercial building energy codes and standards (such as American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) 90.1 [@90.1]) have progressed with many control-related addenda. For example, from the publication of 90.1-2004 to 90.1-2016 (four code cycles), 30% of the new requirements are related to building control (with most of them focused on Heating, Ventilation, and Air Conditioning (HVAC) system control) [@impl_ctrl].
 
-However, one of the challenges to realizing those savings is the correct implementation of such advanced control strategies and regularly verifying their actual operational performance. A field study found that only 50% of systems observed have their control system correctly configured to meet the energy codes requirement [@impl_ctr], and control-related compliance verification is typically not included in the commissioning scope. Current control verification is often conducted manually, which is time-consuming, ad-hoc, incomplete, and error-prone.
+However, one of the challenges to realizing those savings is the correct implementation of such advanced control strategies and regularly verifying their actual operational performance. A field study found that only 50% of systems observed have their control system correctly configured to meet the energy codes requirement [@impl_ctrl], and control-related compliance verification is typically not included in the commissioning scope. Current control verification is often conducted manually, which is time-consuming, ad-hoc, incomplete, and error-prone.
 
 `ConStrain` can be used as a standalone tool and, with its Python Application Programming Interface (API), can also be integrated into established workflows of third-party tools and practices. For instance, `ConStrain` has been successfully integrated as part of the continuous integration software development process of whole-building energy simulation-based software tool (e.g., Washington State's Total System Performance Ratio Analysis Tool [@tspr]) to make sure that software code contributions as well as simulation software updates do not have unexpected impacts on the simulated performance of building system controls. Moreover, a set of `OpenStudio` [@os] measures [@osm] have also been developed to enable building energy modelers using `OpenStudio` to have access to perform verification on their models with minimal configurations required.