Education
22 columns
72 rows
8 formats

School HVAC Energy Savings Log

This dataset provides detailed logs of HVAC energy usage, savings, maintenance events, compliance with climate targets, and ROI across school buildings after system upgrades. It enables district managers and sustainability officers to monitor performance, analyze trends, and optimize energy efficiency strategies for educational facilities.

last updated 27 Dec 2025
by GoMask

The brief that made it

Track and report energy savings and ROI from HVAC upgrades across school buildings

Sample rows

preview · 8 of 72 rows · all 22 columns

log_idinteger	building_area_sqftfloat	maintenance_eventboolean	address_statestring	school_idinteger	school_namestring	address_streetstring	address_citystring	address_postal_codestring	address_countrystring	hvac_upgrade_datedate	log_datedate	energy_usage_kwhfloat	baseline_energy_usage_kwhfloat	energy_savings_kwhfloat	energy_savings_percentfloat	maintenance_descriptionstring	maintenance_cost_usdfloat	compliance_targetfloat	compliance_metboolean	roi_usdfloat	notesstring
1	125000.5	false	IL	101	Lincoln High School	234 Elm St	Springfield	62704	USA	2023-06-15	2024-01-31	41520	47000	5480	11.66	blank	blank	42000	true	12500	Winter season; moderate savings observed.
2	66000	true	OH	102	Jefferson Elementary	78 Maple Ave	Columbus	43215	USA	2022-08-20	2024-03-15	19800.55	22300	2499.45	11.21	Filter replacement and minor duct cleaning.	480	20000	true	7200	Spring log after scheduled maintenance.
3	93000	false	WI	103	Roosevelt Middle School	411 Pine Road	Madison	53703	USA	2023-03-12	2024-02-28	31600	34700	3100	8.93	blank	blank	32000	true	9900	Peak heating demand period.
4	57000	false	OR	104	Adams Primary	150 Oak Lane	Eugene	97402	USA	2023-05-05	2024-04-10	15680	18100	2420	13.37	blank	blank	16000	true	6050	Classroom occupancy increased.
5	81000	false	WA	105	Kennedy Charter School	88 Cedar Blvd	Seattle	98103	USA	2022-11-01	2024-02-05	29270	32500	3230	9.94	blank	blank	29500	true	8900	Energy savings holding steady.
6	140000	true	CO	106	Washington High	303 Birch St	Denver	80204	USA	2023-07-10	2024-01-15	46050	51200	5150	10.06	Annual system calibration.	1250	47000	true	13500	Calibration led to improved controls.
7	98000	false	TX	107	Franklin STEM Academy	12 Sycamore Ave	Austin	78701	USA	2022-09-14	2024-03-22	34150	38100	3950	10.37	blank	blank	34500	true	10200	Science wing expansion completed.
8	72000	false	VA	108	Liberty Middle School	400 Walnut St	Richmond	23220	USA	2023-01-20	2024-02-12	24010	26100	2090	8.01	blank	blank	24500	true	7500	Energy reduction slightly below target.
9	55000	true	ID	109	Grant Primary School	72 Spruce Dr	Boise	83702	USA	2023-04-03	2024-04-18	15100	16800	1700	10.12	Thermostat replaced due to malfunction.	280	15500	true	5800	Thermostat replacement improved comfort.
10	86000	false	CT	110	Madison Magnet School	500 Chestnut Ave	Hartford	06103	USA	2023-02-28	2024-03-05	30100	32850	2750	8.37	blank	blank	30500	true	8700	No maintenance required this period.
11	125000.5	true	IL	101	Lincoln High School	234 Elm St	Springfield	62704	USA	2023-06-15	2024-02-28	42500	47000	4500	9.57	Compressor lubrication and inspection.	800	43000	true	12800	Minor maintenance improved performance.
12	66000	false	OH	102	Jefferson Elementary	78 Maple Ave	Columbus	43215	USA	2022-08-20	2024-04-12	20400	22300	1900	8.52	blank	blank	20500	true	7300	Seasonal occupancy changes.
13	93000	false	WI	103	Roosevelt Middle School	411 Pine Road	Madison	53703	USA	2023-03-12	2024-04-01	32200	34700	2500	7.2	blank	blank	32500	true	9950	Slight increase in usage.
14	57000	false	OR	104	Adams Primary	150 Oak Lane	Eugene	97402	USA	2023-05-05	2024-02-10	16200	18100	1900	10.5	blank	blank	16500	true	6100	Energy savings consistent.
15	81000	true	WA	105	Kennedy Charter School	88 Cedar Blvd	Seattle	98103	USA	2022-11-01	2024-03-07	29500	32500	3000	9.23	Fan motor replaced.	1100	29700	true	9000	Fan motor replacement completed.
16	140000	false	CO	106	Washington High	303 Birch St	Denver	80204	USA	2023-07-10	2024-04-21	46500	51200	4700	9.18	blank	blank	47000	true	13600	No issues reported.
17	98000	false	TX	107	Franklin STEM Academy	12 Sycamore Ave	Austin	78701	USA	2022-09-14	2024-02-19	34500	38100	3600	9.45	blank	blank	35000	true	10300	System running efficiently.
18	72000	false	VA	108	Liberty Middle School	400 Walnut St	Richmond	23220	USA	2023-01-20	2024-04-14	24400	26100	1700	6.51	blank	blank	24700	true	7600	Slight increase in energy usage.
19	55000	false	ID	109	Grant Primary School	72 Spruce Dr	Boise	83702	USA	2023-04-03	2024-02-24	15300	16800	1500	8.93	blank	blank	15500	true	5850	Occupancy rate unchanged.
20	86000	true	CT	110	Madison Magnet School	500 Chestnut Ave	Hartford	06103	USA	2023-02-28	2024-02-25	30700	32850	2150	6.55	Duct cleaning performed.	350	31000	true	8750	Duct cleaning improved airflow.

What the 72 rows show

from the 72-row sample

36%maintenance_event = true
63,500median building_area_sqft
13,550median energy_usage_kwh
15,900median baseline_energy_usage_kwh
1,955median energy_savings_kwh
9.9median energy_savings_percent

building_area_sqft72 rows, in bands of 20k

Median 63,500, from 34,000 to 140,000.

address_state72 rows · top 10 of 28 values

22 columns by typefrom the column list below

string 8
integer 2
float 8
date 2
boolean 2

Columns

22 columns in four groups

blueprint · 22 columns
column	type	description	example
Text 8 columns
`school_name`	string	Official name of the school building	Lincoln High School
`address_street`	string	Street address of the school building	234 Elm St
`address_city`	string	City where the school is located	Springfield
`address_state`	string	State or province where the school is located	IL
`address_postal_code`	string	Postal or ZIP code of the school	62704
`address_country`	string	Country where the school is located	USA
`maintenance_description`	string	Description of maintenance performed (if any) during the log periodoptional	Fan motor replaced.
`notes`	string	Additional notes or observations for the log entryoptional	No issues reported.
Numbers 10 columns
`log_id`	integer	Unique identifier for each energy savings log entryunique · 1 or more	1
`school_id`	integer	Unique identifier for the school building1 or more	101
`building_area_sqft`	float	Total area of the school building in square feet0 or more	125000.5
`energy_usage_kwh`	float	Total energy consumed by the HVAC system (in kilowatt-hours) during the log period0 or more	41520
`baseline_energy_usage_kwh`	float	Baseline energy usage (in kilowatt-hours) for the same period prior to HVAC upgrade0 or more · optional	47000
`energy_savings_kwh`	float	Calculated energy savings (in kilowatt-hours) compared to baselineoptional	5480
`energy_savings_percent`	float	Percentage reduction in energy usage compared to baseline0 to 100 · optional	11.66
`maintenance_cost_usd`	float	Cost of maintenance performed during the log period (in USD)0 or more · optional	480
`compliance_target`	float	Target energy usage (in kWh) for compliance with climate or sustainability goals for the period0 or more · optional	42000
`roi_usd`	float	Estimated return on investment (ROI) in USD for the HVAC upgrade as of the log dateoptional	12500
Dates and times 2 columns
`hvac_upgrade_date`	date	Date when the HVAC system was upgraded	2023-06-15
`log_date`	date	Date of the energy usage log entry	2024-01-31
True or false 2 columns
`maintenance_event`	boolean	Indicates if a maintenance event occurred during the log period	false
`compliance_met`	boolean	Indicates if the energy usage met or was below the compliance targetoptional	true

Use it for

An education dashboard
The maintenance_event rate, building_area_sqft and a breakdown of address_state. Excel, Power BI or Tableau.
Why do 26 of 72 rows have maintenance_event = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 72 rows.
Rows72
1125000.5false
266000true
6140000true
A software demo
Believable rows with school_id, school_name and address_street to fill a screen in front of a buyer.

This dataset72 rows22 columns

Yours1,000 rows22 columnsaddress_street: UK only

blueprint · school-hvac-energy-savings-log

Behind this dataset

Same schema. As many rows as you need.

These 72 rows came out of a blueprint — 22 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Each row represents one school building per month.
Record baseline vs. post-upgrade energy consumption (kWh).
Include HVAC maintenance events and dates.
Flag buildings exceeding target energy reduction.
Calculate monthly cost savings based on local rates.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: school-hvac-energy-savings-log

What should your data show?

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Sample rows

What the 72 rows show

Columns

Use it for

An education dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Education

What should your data show?