Energy Efficiency Recommendations

Functions for detecting building inefficiencies and recommending energy efficiency measures.

Symptom Detection

better_lbnl_os.detect_symptoms(benchmark_input)[source]

Detect inefficiency symptoms using the legacy BETTER rules.

Parameters:: benchmark_input (BenchmarkResult | dict[str, Any])
Return type:: list[InefficiencySymptom]

Measure Recommendations

better_lbnl_os.recommend_ee_measures(benchmark_input, *, building_type=None)[source]

Produce EE recommendations for the provided benchmarking results.

Parameters:

benchmark_input (BenchmarkResult | dict[str, Any])
building_type (BuildingSpaceType | None)

Return type:

EERecommendationResult

better_lbnl_os.map_symptoms_to_measures(symptoms)[source]

Map detected symptoms to the top-level BETTER measures.

Parameters:: symptoms (list[InefficiencySymptom])
Return type:: list[EEMeasureRecommendation]

Available Measures

better_lbnl_os.BETTER_MEASURES

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:: d = {} for k, v in iterable:

d[k] = v
dict(**kwargs) -> new dictionary initialized with the name=value pairs: in the keyword argument list. For example: dict(one=1, two=2)

Module Reference

Energy efficiency recommendation engine.

This module extracts the BETTER recommendation logic so the core symptom checks and measure mappings can be reused outside the Django application. Only the 15 top-level measures live here; detailed metadata such as secondary measures or resource links remain the responsibility of the host application.