Preparing building intelligence…
Preparing building intelligence…
Connect qualifying rooftop units, chillers, controls, meters, sensors, and facility portfolios through one intelligent visibility layer designed to help teams understand performance, identify opportunities, and support better operating decisions.
Talk to an Energy Intelligence SpecialistAvailable features depend on installed technology, sensors, metering, controller compatibility, network access, integrations, cloud configuration, and client approval.
Heating, ventilation, and air-conditioning (HVAC) systems continuously generate temperatures, pressures, airflow, capacity, schedules, setpoints, alarms, power demand, status, and facility conditions. That information may remain isolated across controllers, building-management systems (BMS), spreadsheets, and service reports.
The platform is designed to organize approved data into understandable dashboards, trends, performance indicators, and portfolio views,helping teams move from reactive observation toward informed decisions without claiming that every decision is autonomous.
A common information challenge that requires project-specific data and governance review.
The challenge is often not the absence of data. It is turning data into useful context.
Bring approved operating information from qualifying HVAC technologies into organized dashboards.
Compare facilities, equipment groups, technologies, and performance periods across a multi-site portfolio.
Review calculated or directly metered energy information according to the selected configuration.
Visualize temperatures, setpoints, capacity, fan speed, energy values, status, and environmental conditions over time.
Support optimized and baseline-style comparison periods for qualifying RTU-SC and GCOP projects.
Help teams identify assets that may require further review, adjustment, service, or engineering analysis.
Translate technical information into high-level energy, financial, and sustainability summaries.
Support individual facilities, campuses, and multi-location portfolios using an approved architecture.
Connect approved RTU-SC and GCOP controllers, BMS points, BACnet devices, meters, sensors, gateways, and cloud services.
Receive relevant equipment, energy, schedule, environmental, and operating information.
Structure available data into useful equipment, facility, and portfolio views without claiming universal normalization.
Apply approved calculations, rules, trends, comparisons, and technology-specific optimization context.
Present dashboards, charts, alerts, scorecards, summaries, and reports.
Help authorized users make informed operational, engineering, financial, maintenance, and sustainability decisions.
Automated commands, supervisory control, or setpoint changes are available only where specifically engineered, commissioned, authorized, secured, and supported.
The final architecture varies according to project scope and client requirements.
Within DLV Energy’s ecosystem, artificial intelligence (AI) may include adaptive optimization logic, fuzzy-logic techniques, rule-based analysis, calculated performance indicators, trend recognition, comparison reporting, and data-informed recommendations.
It does not mean artificial general intelligence, fully autonomous facility management, self-healing infrastructure, guaranteed predictive maintenance or fault detection, unsupervised control, or replacement of engineers.
Supported RTU-SC views may organize fan command and status, refrigeration measurements, calculated superheat, space temperature, relative humidity, optional indoor-air-quality (IAQ) values, schedules, alarms, energy information, and Evaluation Mode comparisons.
Supported GCOP views may include Leaving Chilled Water Temperature (LCHWT), entering-water temperature, setpoint, outdoor temperature, chiller capacity, load indicators, selected zone temperatures, optimization and Evaluation Mode status, comparison data, energy performance, and configured multi-chiller trends.
A fictional portfolio-level view of assessment status and connected technology categories.
An approved portfolio configuration may group facilities and equipment, compare opportunity, review assessments, identify missing data, prioritize engineering reviews, track pilots, and prepare executive summaries.
Open the Portfolio AssessmentAvailable according to the approved portfolio configuration and data quality.
Potential rule-based awareness; availability depends on points, sensors, configured rules, notification services, and scope.
These alerts do not constitute automated fault diagnosis.
Facility summaries, RTU-SC and GCOP evaluations, commissioning summaries, trend exports, and pilot reviews.
Energy-opportunity assessments, executive ROI summaries, portfolio comparisons, and sustainability-impact estimates.
Reports distinguish calculated values, metered values, preliminary estimates, and verified project results. They are not utility-grade measurement and verification documents unless prepared under an approved methodology using validated data.
Where approved energy data and emissions factors are available, the platform may translate estimated or measured reduction into kWh, demand, emissions, energy-intensity trends, and project-contribution indicators.
Emissions calculations depend on the selected grid factor, location, reporting period, energy source, and approved methodology. No unverified corporate totals are published.
Representative architecture. Final design depends on the project. Potential paths include approved BACnet, BMS, controllers, meters, sensors, gateways, cloud services, APIs, and separately approved business-system integrations.
Every connected project must be configured according to the client’s information-technology, operational-technology, controls, privacy, and cybersecurity requirements.
Potential controls include role-based accounts, least privilege, segmentation, approved firewall rules, encrypted transport, secure credentials, audit logging, retention, backups, remote-access approval, and incident procedures.
Hosting, encryption, authentication, data residency, certifications, penetration testing, uptime, and service levels require confirmation before publication or contracting.
Reviewed during controls, network, data, and engineering discovery. A review is required before final platform configuration.
Define facilities, equipment, stakeholders, business objectives, and reporting requirements.
Identify points, sensors, meters, controllers, network paths, and data-quality limitations.
Design the approved local, gateway, cloud, BMS, dashboard, and user-access configuration.
Configure approved connections, dashboards, calculations, and reporting functions.
Confirm accuracy, units, timestamps, calculations, permissions, alerts, and interface behavior.
Train authorized users, review performance, refine dashboards, and establish reporting procedures.
Compare opportunities across facilities.
Review RTU-SC operation, Evaluation Mode, and indicators.
Review GCOP setpoint behavior, capacity, trends, and comparisons.
Organize before-and-after or alternating-period data.
Translate technical information into financial and operational summaries.
Connect approved energy data to estimated environmental impact.
Review equipment trends and conditions.
Support approved qualification, commissioning, and reporting workflows.
Configuration depends on equipment, network, operational, privacy, and regulatory requirements.
Explore industry applicationsThe platform can organize preliminary facility information into estimated energy, financial, and sustainability opportunity views using facility and equipment counts, energy spend, operating hours, rates, savings scenarios, investment, and technology type.
Preliminary estimate only. Results are not a proposal, guarantee, engineering study, or verified measurement and verification report.
Preliminary estimates only; final outputs depend on approved inputs and methodology.
Explore rooftop-unit optimization intelligence.
Learn moreExplore chilled-water optimization intelligence.
Learn moreReview the connected technology framework.
Learn moreExplore facility environments.
Learn moreReview approved project categories.
Learn moreStart a structured qualification workflow.
Learn moreBuild a preliminary financial scenario.
Learn moreOpen the illustrative portfolio view.
Learn moreExplore investor and sustainability context.
Learn moreRequest a leadership-level discussion.
Learn moreDiscuss a controlled project evaluation.
Learn moreRead practical technical guidance.
Learn moreReview company and technology questions.
Learn moreConnect with DLV Energy.
Learn moreIt is a designed intelligence, analytics, reporting, and supported supervisory layer that organizes approved HVAC and energy data into role-appropriate views.
No. It is not presented as a replacement for the client’s building-management system, controllers, engineers, commissioning, or cybersecurity review.
No. Existing controllers retain their project-defined roles. Supervisory commands are available only when engineered, commissioned, authorized, and supported.
Potential sources include qualifying RTUs, chillers, meters, sensors, controllers, gateways, and BMS points. Compatibility is project-specific.
Currently supported project content includes RTU-SC operating visualization, trends, alarms, energy context, and Evaluation Mode reporting where configured.
Currently supported project content includes GCOP setpoint, temperature, capacity, optimization, trend, and Evaluation Mode visibility where configured.
Potentially. BMS data ingestion is integration-dependent and requires confirmed points, permissions, network architecture, security, and client approval.
Approved project architectures may use BACnet/IP and routed BACnet MS/TP. Available objects and writable points must be reviewed.
Not for every local operating function. The local, gateway, BMS, and cloud arrangement depends on the approved project.
Configured views may include equipment status, temperatures, setpoints, trends, alarms, energy values, comparisons, assessments, and portfolio summaries.
The existing project supports an illustrative portfolio-dashboard foundation; production scope and data connections require project configuration.
Supported calculations may estimate energy performance when inputs and methodology are approved. They are not automatically verified savings.
Calculated values use available inputs and assumptions; metered values use direct measurements. Both require an agreed baseline and methodology for verification.
The platform is designed to organize qualifying RTU-SC and GCOP optimized-versus-comparison data where those workflows are configured.
DLV Energy uses the term transparently for adaptive optimization, fuzzy logic, rules, calculated indicators, trends, comparisons, and data-informed recommendations,not artificial general intelligence.
It means approved control logic can respond to changing operating inputs within engineered and commissioned limits.
Not as a confirmed current capability. Predictive maintenance remains planned or approval-dependent and disabled unless separately verified.
Only where a specific command or setpoint strategy is engineered, commissioned, authorized, secured, and supported. It is not unsupervised facility control.
Rule-based alert foundations are supported conceptually; availability depends on points, sensors, rules, notification services, and project scope.
Reporting foundations exist in the project. Production exports, scheduling, formats, and distribution require approved configuration.
It may organize estimated or measured energy reductions and approved emissions factors into sustainability indicators. It does not create verified corporate totals by itself.
They depend on the selected grid factor, location, reporting period, energy source, and approved methodology.
Security requirements and controls must be defined for each client. No blanket security guarantee is made.
Specific hosting, data residency, retention, backup, and service terms require confirmation before contracting or publication.
No certification is claimed on this page. Any certification, audit, or penetration-testing statement requires verified documentation.
Role-based access is a potential project control. The final identity and permission model requires approved implementation.
CRM, calendar, email, and scheduling integrations are approval-dependent and disabled in the current public demonstration.
No public production chatbot is represented here. A conversational assistant remains planned or approval-dependent.
A controls, network, data, equipment, cybersecurity, privacy, and engineering review is required before final configuration.
Yes. The page includes a fictional illustrative demonstration, and DLV Energy can discuss an approved executive demonstration for a prospective project.
Let DLV Energy review your equipment portfolio, controls architecture, energy data, and reporting goals to design an intelligence strategy suited to your facilities.